Triple

T16935776
Position Surface form Disambiguated ID Type / Status
Subject Side E410823 entity
Predicate locatedIn P40 FINISHED
Object Manavgat district E447889 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: Manavgat district | Statement: [Side, locatedIn, Manavgat district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manavgat district
Context triple: [Side, locatedIn, Manavgat district]
  • A. 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.
  • B. Manavgat chosen
    Manavgat is a coastal town and popular tourist district in southern Turkey, known for its river, waterfalls, and proximity to the ancient city of Side.
  • C. Ulubey District
    Ulubey District is an administrative district in western Turkey known for its rural settlements and natural landscapes within Uşak Province.
  • D. Bergama District
    Bergama District is an administrative district in Turkey’s İzmir Province, centered on the historic town of Bergama, known for its ancient city of Pergamon.
  • E. 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.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2a05f48190a0a8ac86985f4000 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe2d4f48190b965b6c0a3cc0125 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.