Triple
T5886692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal A-West |
E130881
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Terminal A-East |
E127982
|
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 A-East | Statement: [Terminal A-West, connectedTo, Terminal A-East]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal A-East Context triple: [Terminal A-West, connectedTo, Terminal A-East]
-
A.
Terminal A-East
chosen
Terminal A-East is one of the passenger terminals at Philadelphia International Airport, serving as a concourse for airline check-in, security, boarding, and arrivals.
-
B.
Terminal A
Terminal A is one of the passenger terminals at Hollywood Burbank Airport, serving as a primary facility for airline check-in, security screening, and boarding.
-
C.
Terminal A
Terminal A is one of the main passenger terminals at O. R. Tambo International Airport in Johannesburg, serving as a key hub for airline check-in, departures, and arrivals.
-
D.
Terminal A
Terminal A is a primary passenger terminal at Bradley International Airport in Connecticut, serving as a hub for check-in, security, and boarding operations.
-
E.
Terminal A
Terminal A is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving specific flights and airlines within the airport’s terminal complex.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0367a61648190bf97746caa4061fe |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13ce8788190b07771180f0fa376 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.