Triple

T1137076

Position	Surface form	Disambiguated ID	Type / Status
Subject	NOAA fleet	`E23164`	entity
Predicate	hasComponent	`P35`	FINISHED
Object	NOAA Ship Nancy Foster NOAA Ship Nancy Foster is an oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) that supports coastal and marine ecosystem studies, habitat mapping, and environmental monitoring.	`E146560`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: NOAA Ship Nancy Foster | Statement: [NOAA fleet, hasComponent, NOAA Ship Nancy Foster]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: NOAA Ship Nancy Foster
Context triple: [NOAA fleet, hasComponent, NOAA Ship Nancy Foster]

A. NOAA Ship Ronald H. Brown
NOAA Ship Ronald H. Brown is a large, state-of-the-art oceanographic and atmospheric research vessel operated by the National Oceanic and Atmospheric Administration (NOAA).
B. NOAA Ship Ferdinand R. Hassler
NOAA Ship Ferdinand R. Hassler is a National Oceanic and Atmospheric Administration hydrographic survey vessel used primarily for mapping and charting the seafloor to support safe navigation.
C. NOAA Ship Gordon Gunter
NOAA Ship Gordon Gunter is an oceanographic and fisheries research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to study marine ecosystems and support resource management in the Atlantic Ocean and Gulf of Mexico.
D. NOAA Ship Oscar Dyson
NOAA Ship Oscar Dyson is a modern fisheries and oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to study marine ecosystems, fish stocks, and ocean conditions, primarily in Alaskan waters.
E. NOAA Ship Pisces
NOAA Ship Pisces is an advanced fisheries and oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to study marine ecosystems and support resource management.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: NOAA Ship Nancy Foster
Triple: [NOAA fleet, hasComponent, NOAA Ship Nancy Foster]

Generated description

NOAA Ship Nancy Foster is an oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) that supports coastal and marine ecosystem studies, habitat mapping, and environmental monitoring.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: NOAA Ship Nancy Foster
Target entity description: NOAA Ship Nancy Foster is an oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) that supports coastal and marine ecosystem studies, habitat mapping, and environmental monitoring.

A. NOAA Ship Ronald H. Brown
NOAA Ship Ronald H. Brown is a large, state-of-the-art oceanographic and atmospheric research vessel operated by the National Oceanic and Atmospheric Administration (NOAA).
B. NOAA Ship Ferdinand R. Hassler
NOAA Ship Ferdinand R. Hassler is a National Oceanic and Atmospheric Administration hydrographic survey vessel used primarily for mapping and charting the seafloor to support safe navigation.
C. NOAA Ship Gordon Gunter
NOAA Ship Gordon Gunter is an oceanographic and fisheries research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to study marine ecosystems and support resource management in the Atlantic Ocean and Gulf of Mexico.
D. NOAA Ship Oscar Dyson
NOAA Ship Oscar Dyson is a modern fisheries and oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to study marine ecosystems, fish stocks, and ocean conditions, primarily in Alaskan waters.
E. NOAA Ship Pisces
NOAA Ship Pisces is an advanced fisheries and oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to study marine ecosystems and support resource management.
F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69a493ec75988190b63a11bafaec29b4`	completed	March 1, 2026, 7:30 p.m.
NER	Named-entity recognition	`batch_69a4bc2450c481909b9264e170070326`	completed	March 1, 2026, 10:22 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69aca2e36fc081908de3b67293c7bbf6`	completed	March 7, 2026, 10:12 p.m.
NEDg	Description generation	`batch_69aca391037c8190b6f256fcd1ac882e`	completed	March 7, 2026, 10:15 p.m.
NED2	Entity disambiguation (via description)	`batch_69aca42e7c74819089666f4940ea6d4d`	completed	March 7, 2026, 10:18 p.m.

Created at: March 1, 2026, 7:44 p.m.