Triple
T2088507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KSAN |
E32610
|
entity |
| Predicate | servesInternationalFlights |
P1657
|
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: [KSAN, servesInternationalFlights, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesInternationalFlights Context triple: [KSAN, servesInternationalFlights, true]
-
A.
hasInternationalService
Indicates that an entity provides or is connected to transportation or communication services that operate across national borders.
-
B.
hasInternationalFlights
chosen
Indicates that an airport or airline operates flights connecting to destinations in other countries.
-
C.
operatesInternationally
Indicates that the entity conducts activities or business across national borders in multiple countries.
-
D.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
E.
replacedByForInternationalFlights
Indicates that one entity is superseded or substituted by another specifically in the context of international flights.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba712388819091d68a4bb99f6b17 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b4356881909217c42ccb8bb1ed |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.