Triple

T37861964
Position Surface form Disambiguated ID Type / Status
Subject Ladik E944356 entity
Predicate hasWinterSportsCenter P95258 FINISHED
Object Akdağ Ski Center
Akdağ Ski Center is a Turkish winter sports and ski resort located near the town of Ladik in Samsun Province, offering skiing and snow-related recreational activities.
 E2246410 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Akdağ Ski Center
Triple: [Ladik, hasWinterSportsCenter, Akdağ Ski Center]
Generated description
Akdağ Ski Center is a Turkish winter sports and ski resort located near the town of Ladik in Samsun Province, offering skiing and snow-related recreational activities.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a410420146c8190b7968f256450cd91 completed June 28, 2026, 11:23 a.m.
NEDg Description generation batch_6a41049bdc7881908ffafe3ffbb24b99 completed June 28, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a41059ef42c81909a94722a1563fcd1 completed June 28, 2026, 11:29 a.m.
PD Predicate disambiguation batch_69fbbd166a488190b1bf9316b0790801 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:19 p.m.