Triple

T17281345
Position Surface form Disambiguated ID Type / Status
Subject Belek E419535 entity
Predicate partOf P40 FINISHED
Object Serik district E1247202 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: Serik district | Statement: [Belek, partOf, Serik district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serik district
Context triple: [Belek, partOf, Serik district]
  • A. Serik district chosen
    Serik district is an administrative region in Turkey’s Antalya Province, known for encompassing the ancient Greco-Roman city of Aspendos and its remarkably well-preserved Roman theatre.
  • B. Akyurt District
    Akyurt District is an administrative district in Ankara Province, Turkey, encompassing the town of Akyurt and its surrounding rural and suburban areas.
  • C. Baykan District
    Baykan District is an administrative district in southeastern Turkey known for its predominantly Kurdish population and location within Siirt Province.
  • D. Murat district
    Murat district is the central historic and commercial heart of Bari, Italy, known for its 19th-century grid layout, elegant boulevards, and major shopping streets.
  • E. Kagizman District
    Kagizman District is an administrative district in Turkey that encompasses the town of Kağızman and its surrounding rural areas.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332a4c008190b44f4145d0e94a21 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179535ae08190ac0137d0f8741919 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.