Triple

T15062117
Position Surface form Disambiguated ID Type / Status
Subject Church of St Nicholas E379653 entity
Predicate locatedIn P40 FINISHED
Object Metohija E311399 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: Metohija | Statement: [Church of St Nicholas, locatedIn, Metohija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metohija
Context triple: [Church of St Nicholas, locatedIn, Metohija]
  • A. Metohija chosen
    Metohija is a historical region in western Kosovo known for its fertile plains and numerous medieval Serbian Orthodox monasteries.
  • B. Vajna
    Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
  • C. Moraro
    Moraro is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
  • D. Stinica
    Stinica is a small coastal village in Croatia that serves as a mainland ferry port and gateway to the island of Rab.
  • E. Dushku
    Dushku is the surname of Eliza Dushku, an American actress known for roles in series like "Buffy the Vampire Slayer" and "Dollhouse."
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee6a55c8190b40c4672fb46b79b completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c612d481909575b76f7aa96c50 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.