Triple
T5418381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAX terminal complex |
E121186
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Terminal 7 |
E16893
|
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 7 | Statement: [LAX terminal complex, hasComponent, Terminal 7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 7 Context triple: [LAX terminal complex, hasComponent, Terminal 7]
-
A.
Terminal 7
chosen
Terminal 7 is one of the passenger terminals at Los Angeles International Airport, primarily serving United Airlines and its partner carriers.
-
B.
Terminal 7
Terminal 7 is one of the passenger terminals at John F. Kennedy International Airport in New York City, historically serving several international airlines.
-
C.
Terminal 6
Terminal 6 is one of the passenger terminals at Los Angeles International Airport, serving a mix of domestic and some international flights for several major airlines.
-
D.
Terminal 1
Terminal 1 is the international terminal of Sydney Kingsford Smith Airport, serving most of its overseas flights and major global airlines.
-
E.
Terminal 1
Terminal 1 is one of the passenger terminals at Los Angeles International Airport, primarily serving domestic flights for several major U.S. airlines.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e7ae388190b26d16d42e717023 |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf70d2a5b481908a6fdc28bb2d2e11 |
completed | March 22, 2026, 4:32 a.m. |
Created at: March 20, 2026, 2:05 p.m.