Triple

T12817351
Position Surface form Disambiguated ID Type / Status
Subject Euromos E306435 entity
Predicate locatedNear P294 FINISHED
Object Milas E1066359 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: Milas | Statement: [Euromos, locatedNear, Milas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milas
Context triple: [Euromos, locatedNear, Milas]
  • A. Milas chosen
    Milas is a town in southwestern Turkey known for its rich ancient Carian and Roman heritage and numerous archaeological sites.
  • B. Muş
    Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
  • C. Malatya
    Malatya is a major city in eastern Turkey known for its apricot production and role as a regional economic and cultural center.
  • D. Kilis
    Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
  • E. Cizre
    Cizre is a historic town in southeastern Turkey near the Syrian and Iraqi borders, known as a cultural and commercial center of the Upper Mesopotamian region.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9d00088190ac0f5d60e1de7a7c completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f404888190b7bb47bff1a7c1e1 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 5:31 p.m.