Triple
T7751338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAN Terminal 2 |
E175769
|
entity |
| Predicate | hasConcourse |
P1656
|
FINISHED |
| Object | Terminal 2 West |
E687946
|
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: Terminal 2 West | Statement: [SAN Terminal 2, hasConcourse, Terminal 2 West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 2 West Context triple: [SAN Terminal 2, hasConcourse, Terminal 2 West]
-
A.
Terminal 2 East
chosen
Terminal 2 East is one of the concourses at San Diego International Airport’s Terminal 2, serving a selection of the airport’s domestic and international flights.
-
B.
Terminal 2 complex
Terminal 2 complex is a major multi-terminal passenger facility at Paris Charles de Gaulle Airport that groups several interconnected sub-terminals and services.
-
C.
Terminal 3
Terminal 3 is one of the main passenger terminals at Toronto Pearson International Airport, serving numerous international and domestic flights with a variety of airlines and amenities.
-
D.
Terminal 3
Terminal 3 is a passenger terminal at Cincinnati/Northern Kentucky International Airport serving airline operations and traveler services.
-
E.
Terminal 3
Terminal 3 is one of the passenger terminals at Mehrabad International Airport in Tehran, serving domestic air traffic within Iran.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b264c0819095c37534a676531d |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6c06f54819096162e84180918ba |
completed | March 29, 2026, 7:37 a.m. |
Created at: March 27, 2026, 4:08 p.m.