Triple
T1137073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOAA fleet |
E23164
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
NOAA Ship Rainier
NOAA Ship Rainier is a National Oceanic and Atmospheric Administration hydrographic survey vessel primarily used to map and chart coastal waters for safe navigation.
|
E141643
|
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 Rainier | Statement: [NOAA fleet, hasComponent, NOAA Ship Rainier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NOAA Ship Rainier Context triple: [NOAA fleet, hasComponent, NOAA Ship Rainier]
-
A.
NOAA Ship Fairweather
NOAA Ship Fairweather is an oceanographic and hydrographic survey vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to map and study coastal and marine environments.
-
B.
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).
-
C.
NOAA Ship Bell M. Shimada
NOAA Ship Bell M. Shimada is a modern fisheries and oceanographic research vessel operated by the National Oceanic and Atmospheric Administration to study marine ecosystems and support sustainable fisheries management, primarily along the U.S. West Coast.
-
D.
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.
-
E.
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.
- 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 Rainier Triple: [NOAA fleet, hasComponent, NOAA Ship Rainier]
Generated description
NOAA Ship Rainier is a National Oceanic and Atmospheric Administration hydrographic survey vessel primarily used to map and chart coastal waters for safe navigation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NOAA Ship Rainier Target entity description: NOAA Ship Rainier is a National Oceanic and Atmospheric Administration hydrographic survey vessel primarily used to map and chart coastal waters for safe navigation.
-
A.
NOAA Ship Fairweather
NOAA Ship Fairweather is an oceanographic and hydrographic survey vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to map and study coastal and marine environments.
-
B.
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).
-
C.
NOAA Ship Bell M. Shimada
NOAA Ship Bell M. Shimada is a modern fisheries and oceanographic research vessel operated by the National Oceanic and Atmospheric Administration to study marine ecosystems and support sustainable fisheries management, primarily along the U.S. West Coast.
-
D.
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.
-
E.
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.
- 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_69ac8f6b70d081909c6d6f9c790f6bd6 |
completed | March 7, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69ac8fd90ea88190b154bb7d72768dae |
completed | March 7, 2026, 8:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac90412d3881909278a9a6c6536ce3 |
completed | March 7, 2026, 8:53 p.m. |
Created at: March 1, 2026, 7:44 p.m.