Triple

T2959986
Position Surface form Disambiguated ID Type / Status
Subject Gračanica Monastery E80021 entity
Predicate locatedInHistoricalRegion P915 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: [Gračanica Monastery, locatedInHistoricalRegion, Metohija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metohija
Context triple: [Gračanica Monastery, locatedInHistoricalRegion, Metohija]
  • A. Metohija chosen
    Metohija is a historical region in western Kosovo known for its fertile plains and numerous medieval Serbian Orthodox monasteries.
  • B. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • C. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • D. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • E. Midžor
    Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992dd4248190b5f3d4f342593b8c completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc923d888190a68075dfaa9e90b2 completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.