Triple

T16376530
Position Surface form Disambiguated ID Type / Status
Subject Didim E397692 entity
Predicate administrativeCenterOf P383 FINISHED
Object Didim District E1000875 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: Didim District | Statement: [Didim, administrativeCenterOf, Didim District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Didim District
Context triple: [Didim, administrativeCenterOf, Didim District]
  • A. Didim District chosen
    Didim District is an administrative district in Aydın Province, southwestern Turkey, known for its coastal tourism centers and nearby ancient sites such as the Temple of Apollo at Didyma.
  • B. Lira District
    Lira District is an administrative district in northern Uganda that serves as a key cultural and economic center for the Lango people.
  • C. Ulubey District
    Ulubey District is an administrative district in western Turkey known for its rural settlements and natural landscapes within Uşak Province.
  • D. Chora District
    Chora District is an administrative district located within Afghanistan’s central Uruzgan Province.
  • E. Gazipaşa District
    Gazipaşa District is an administrative district in Antalya Province, Turkey, known for its Mediterranean coastline, agricultural production, and growing tourism centered around the town of Gazipaşa.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d79df8819087285b9457b7bdb6 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c522a7c8190a306b85354a087fd completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:08 a.m.