Triple

T16376558
Position Surface form Disambiguated ID Type / Status
Subject Didim E397692 entity
Predicate governingBody P46 FINISHED
Object Didim Municipality E397692 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 Municipality | Statement: [Didim, governingBody, Didim Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Didim Municipality
Context triple: [Didim, governingBody, Didim Municipality]
  • A. Didim District
    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. Chora District
    Chora District is an administrative district located within Afghanistan’s central Uruzgan Province.
  • C. Gelibolu Municipality
    Gelibolu Municipality is the local government authority responsible for administering public services and urban management in the town and district of Gelibolu in Turkey.
  • D. Didim chosen
    Didim is a coastal town and popular tourist resort in Turkey’s Aydın Province, known for its beaches and proximity to the ancient sanctuary of Didyma.
  • E. Adalar Municipality
    Adalar Municipality is the local government authority responsible for administering public services and urban management on Istanbul’s Princes’ Islands district.
  • 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_69e319d8a40c8190af37e7ed60b9c4dd completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457751208190b1e3dd6be3c0f363 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:08 a.m.