Triple
T38341107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabala City Stadium |
E1041405
|
entity |
| Predicate | isSportsFacilityIn |
P2500
|
FINISHED |
| Object | Gabala |
—
|
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: Gabala | Statement: [Gabala City Stadium, isSportsFacilityIn, Gabala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSportsFacilityIn Context triple: [Gabala City Stadium, isSportsFacilityIn, Gabala]
-
A.
sportsFacility
chosen
Indicates that one entity is a sports facility where sports or physical activities can take place for the other entity.
-
B.
isOutdoorFacility
Indicates that a facility is located outdoors or primarily functions in an open-air environment.
-
C.
isPartOfSportsVenue
Indicates that one entity is a component, section, or area contained within a larger sports venue.
-
D.
isWithinSportsFacility
Indicates that one entity is located inside the boundaries of a sports facility or complex.
-
E.
isProfessionalSportsVenue
Indicates that a venue is primarily used for hosting professional-level sporting events or competitions.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:30 p.m.