Triple
T1037711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PHX |
E22401
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object | Terminal 4 |
E21984
|
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 4 | Statement: [PHX, hasTerminal, Terminal 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 4 Context triple: [PHX, hasTerminal, Terminal 4]
-
A.
Terminal 4
Terminal 4 is one of the passenger terminals at Stockholm Arlanda Airport, primarily serving domestic and some regional flights within Scandinavia.
-
B.
Terminal 4
Terminal 4 is one of Heathrow Airport’s passenger terminals, serving a mix of international airlines and routes with its own check-in, security, and arrivals facilities.
-
C.
Terminal 4
Terminal 4 is a major international passenger terminal at John F. Kennedy International Airport in New York City, serving numerous global airlines and long-haul routes.
-
D.
Terminal 4
Terminal 4 is one of the main passenger terminals at Los Angeles International Airport, primarily serving American Airlines and several domestic and international flights.
-
E.
Terminal 4
chosen
Terminal 4 is the largest and primary passenger terminal at Phoenix Sky Harbor International Airport, serving most of the airport’s domestic and international flights.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b82b3ef08190bcd24845b4418d47 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac89fd91208190ac962ec7059f716b |
completed | March 7, 2026, 8:26 p.m. |
Created at: March 1, 2026, 7:41 p.m.