Triple
T7856458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benazir Bhutto International Airport |
E182386
|
entity |
| Predicate | hadVIPLounge |
P79390
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Benazir Bhutto International Airport, hadVIPLounge, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadVIPLounge Context triple: [Benazir Bhutto International Airport, hadVIPLounge, yes]
-
A.
hasVIPBoxes
Indicates that an entity provides or contains VIP boxes as part of its facilities or offerings.
-
B.
audienceAccess
Indicates that one entity has permission or ability to access, view, or engage with a particular audience associated with another entity.
-
C.
hangout
Indicates spending relaxed, informal time together in the same place, typically for socializing or leisure.
-
D.
streamReservationStandard
Indicates that there is a standard or default reservation policy or configuration applied to a stream.
-
E.
mediaAccess
Indicates that one entity has the ability, permission, or means to view, use, or interact with a particular media resource.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:52 p.m.