Triple

T12967155
Position Surface form Disambiguated ID Type / Status
Subject Muğla Province E321290 entity
Predicate contains P35 FINISHED
Object Datça E410826 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: Datça | Statement: [Muğla Province, contains, Datça]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Datça
Context triple: [Muğla Province, contains, Datça]
  • A. Datça chosen
    Datça is a picturesque coastal town and popular holiday destination on Turkey’s Datça Peninsula, known for its unspoiled beaches, clear waters, and relaxed atmosphere.
  • B. Bozcaada
    Bozcaada is a Turkish Aegean island known for its historic castle, vineyards, and well-preserved traditional architecture.
  • C. Büyükada
    Büyükada is the largest and most popular of Istanbul’s Princes' Islands, known for its historic wooden mansions, car-free streets, and seaside promenades.
  • D. Marmara Island
    Marmara Island is a large, historically significant island in northwestern Turkey known for its marble quarries and location in the Sea of Marmara between the Aegean and Black Seas.
  • E. Kuruçeşme
    Kuruçeşme is a Bosphorus-side neighborhood in Istanbul known for its waterfront parks, nightlife venues, and views of the strait.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e3f702481908f0f90f4f12d3f4d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f4798c8190861638c699e98045 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 8:30 p.m.