Triple
T15800202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clipper Maid of the Seas |
E383077
|
entity |
| Predicate | operatorICAO |
P32729
|
FINISHED |
| Object | PAA |
E424330
|
NE FINISHED |
How this triple was built (2 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: PAA | Statement: [Clipper Maid of the Seas, operatorICAO, PAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PAA Context triple: [Clipper Maid of the Seas, operatorICAO, PAA]
-
A.
PAA
chosen
PAA was the ICAO airline designator for Pan American World Airways, the pioneering and once-dominant international airline of the United States.
-
B.
PPA
PPA is the FAA airport code for Perry Lefors Field, a public airport serving Pampa, Texas.
-
C.
PPA
PPA is a regional organization that brings together electric power utilities and related stakeholders across Pacific Island countries to promote cooperation, capacity building, and sustainable energy development.
-
D.
PPA
PPA is a U.S. federal law that regulates the importation, movement, and release of plants and related materials to protect agriculture and the environment from pests and diseases.
-
E.
PPA
PPA is the Pace School of Performing Arts, a college program at Pace University in New York City offering professional training in theater and related performing arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e135b08190b736e77bac5e2bff |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90b2fd148190b3819d7c41505d52 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.