Triple
T7856445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benazir Bhutto International Airport |
E182386
|
entity |
| Predicate | servedAsPrimaryAirportUntil |
P29669
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Benazir Bhutto International Airport, servedAsPrimaryAirportUntil, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsPrimaryAirportUntil Context triple: [Benazir Bhutto International Airport, servedAsPrimaryAirportUntil, 2018]
-
A.
replacedAsMainAirportFor
chosen
Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
-
B.
isOldestInternationalAirportInOperationIn
Indicates that an airport is the oldest international airport still in operation within a specified geographic area or jurisdiction.
-
C.
hasFormerAirport
Indicates that an entity previously had an airport that is no longer in operation or no longer exists.
-
D.
hasSecondaryAirport
Indicates that an entity is associated with an additional, typically smaller or alternative, airport beyond its primary one.
-
E.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a75de548190af5653409a3b3881 |
completed | March 31, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:52 p.m.