Triple

T15760943
Position Surface form Disambiguated ID Type / Status
Subject Peć District E382093 entity
Predicate historicalRegion 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: [Peć District, historicalRegion, Metohija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metohija
Context triple: [Peć District, historicalRegion, 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. Mohi
    Mohi is a village in northeastern Hungary historically known as the site of a major 1241 battle between Mongol and Hungarian forces.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8774eda08190a6231b4fd5027e6f completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.