Triple

T12722600
Position Surface form Disambiguated ID Type / Status
Subject Uşak E304022 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Uşak Province E382580 NE 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: Uşak Province | Statement: [Uşak, locatedInAdministrativeEntity, Uşak Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uşak Province
Context triple: [Uşak, locatedInAdministrativeEntity, Uşak Province]
  • A. Uşak Province chosen
    Uşak Province is an inland administrative region of western Turkey known for its textile industry, historical sites, and location within the country’s Aegean area.
  • B. Aksaray Province
    Aksaray Province is a central Anatolian province of Turkey known for its historical sites, steppe landscapes, and proximity to the Cappadocia region.
  • C. Konya Province
    Konya Province is a large administrative region in central Turkey known for its historical significance, agricultural productivity, and the city of Konya as its cultural and economic center.
  • D. Erzincan Province
    Erzincan Province is an eastern Turkish province in Anatolia known for its mountainous terrain, seismic activity, and significant Zaza-speaking population.
  • E. Sakarya Province
    Sakarya Province is a region in northwestern Turkey known for its rapidly growing industry, agriculture, and proximity to both the Black Sea and major Marmara urban centers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964148f988190a4d0e7b41614fa64 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ebeb5ec8190afef40d87c74a8a0 completed May 9, 2026, 5:28 p.m.
Created at: April 9, 2026, 5:24 p.m.