Triple

T10318033
Position Surface form Disambiguated ID Type / Status
Subject Şanlıurfa E242069 entity
Predicate historicalName P65 FINISHED
Object Urfa E268771 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: Urfa | Statement: [Şanlıurfa, historicalName, Urfa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urfa
Context triple: [Şanlıurfa, historicalName, Urfa]
  • A. İskenderun
    İskenderun is a major port city on Turkey’s Mediterranean coast, known for its strategic location in Hatay Province and its role in regional trade and industry.
  • B. Antakya
    Antakya is a city in southern Turkey, historically known as Antioch, renowned as an important center of Hellenistic, Roman, and early Christian civilization.
  • C. Mardin
    Mardin is a historic city in southeastern Turkey known for its terraced stone architecture, diverse ethnic and religious heritage, and commanding views over the Mesopotamian plains.
  • D. Şanlıurfa chosen
    Şanlıurfa is a historic city in southeastern Turkey, traditionally identified with the ancient city of Edessa and renowned for its rich religious and cultural heritage.
  • E. Havsa
    Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d35e019081909cc296d73227a3ed completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d8de9488190ae003231dccd0c8f completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:49 a.m.