Triple
T37861964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladik |
E944356
|
entity |
| Predicate | hasWinterSportsCenter |
P95258
|
FINISHED |
| Object | Akdağ Ski Center |
—
|
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: Akdağ Ski Center | Statement: [Ladik, hasWinterSportsCenter, Akdağ Ski Center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWinterSportsCenter Context triple: [Ladik, hasWinterSportsCenter, Akdağ Ski Center]
-
A.
hasSkiCenter
chosen
Indicates that a location or entity possesses or hosts a ski center as one of its facilities or features.
-
B.
hasWinterSports
Indicates that an entity offers, supports, or is associated with winter sports activities.
-
C.
hasWinterSportsInfrastructure
Indicates that a place or facility possesses the necessary structures, equipment, and amenities to support winter sports activities.
-
D.
hasWinterSportsResort
Indicates that a location or entity possesses or hosts a resort specifically dedicated to winter sports activities.
-
E.
hasWinterSportsSeason
Indicates that an entity participates in, is associated with, or has a defined period for winter sports activities 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.