Triple
T35561511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3K |
E1027646
|
entity |
| Predicate | airlineHubAirportCode |
P134018
|
FINISHED |
| Object | SIN |
—
|
NE NERFINISHED |
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: SIN | Statement: [3K, airlineHubAirportCode, SIN]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineHubAirportCode Context triple: [3K, airlineHubAirportCode, SIN]
-
A.
operatorPrimaryHubAirportCode
Indicates the airport code of the main or primary hub used by the operator.
-
B.
airlineBaseMetropolitanArea
Indicates that an airline uses a particular metropolitan area as one of its primary operational bases or hubs.
-
C.
associatedAirportPrimaryHubFor
Indicates that an airport serves as the primary hub for a particular airline or transportation operator.
-
D.
airlineBaseCity
Indicates the city that serves as the primary operational base or headquarters location for an airline.
-
E.
associatedHubAirport
chosen
Indicates that one entity serves as a primary or hub airport functionally linked to the other entity.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.