Triple
T7478864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal A (John Wayne Airport) |
E176698
|
entity |
| Predicate | hasPassengerScreening |
P18242
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Terminal A (John Wayne Airport), hasPassengerScreening, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPassengerScreening Context triple: [Terminal A (John Wayne Airport), hasPassengerScreening, true]
-
A.
hasSecurityScreening
chosen
Indicates that an entity is subject to, or has undergone, a security screening process.
-
B.
hasScreened
Indicates that one entity has shown, displayed, or evaluated another entity, typically in the context of presenting media or conducting a review or check.
-
C.
hasBaggageCheck
Indicates that an entity provides or is associated with a service or facility for checking in baggage.
-
D.
hasCustomsAndImmigration
Indicates that customs and immigration control services are present or provided at a given location or facility.
-
E.
hasEmbarkedPersonnel
Indicates that one entity has taken personnel on board or loaded them for transport or deployment.
- F. None of above.
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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4f13f548190a8cc59165735b30e |
completed | March 27, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:42 p.m.