Triple

T5491994
Position Surface form Disambiguated ID Type / Status
Subject Asian Turkey E123721 entity
Predicate containsCity P294 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: [Asian Turkey, containsCity, Datça]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Datça
Context triple: [Asian Turkey, containsCity, 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. 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.
  • C. Çeşme
    Çeşme is a popular Aegean coastal resort town in western Turkey, known for its beaches, thermal springs, and vibrant holiday atmosphere.
  • D. İmralı Island
    İmralı Island is a small Turkish island in the Sea of Marmara best known as a high-security prison island, notably housing Abdullah Öcalan.
  • E. Tenedos (Bozcaada)
    Tenedos (Bozcaada) is a small Turkish island in the northeastern Aegean Sea known for its historic architecture, vineyards, and strategic location near the Dardanelles.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70dcb0c881909d9aaf0050a5c27b completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 2:10 p.m.