Triple
T10101109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Hope Airport |
E216200
|
entity |
| Predicate | hasPassengerTerminal |
P1297
|
FINISHED |
| Object | Terminal A |
E169017
|
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 | Statement: [Bob Hope Airport, hasPassengerTerminal, Terminal A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal A Context triple: [Bob Hope Airport, hasPassengerTerminal, Terminal A]
-
A.
Terminal A
Terminal A is one of the passenger terminals at Boston Logan International Airport, serving as a hub for several domestic and international airline operations.
-
B.
Terminal A
Terminal A is one of the main passenger terminals at Newark Liberty International Airport, serving as a hub for various domestic and regional airline operations.
-
C.
Terminal A
chosen
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.
-
D.
Terminal A
Terminal A is a passenger terminal at Volgograd International Airport in Russia, serving as one of the airport’s main facilities for handling flights and travelers.
-
E.
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.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09878f88190bcfa2c81fb10e821 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6d3efec8190b1432ca614aeb334 |
completed | April 5, 2026, 7:24 p.m. |
Created at: March 30, 2026, 9:02 p.m.