Triple

T16279950
Position Surface form Disambiguated ID Type / Status
Subject Serbian Orthodox monasteries E395237 entity
Predicate historicalRegion P915 FINISHED
Object Kosovo Polje E1171633 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: Kosovo Polje | Statement: [Serbian Orthodox monasteries, historicalRegion, Kosovo Polje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kosovo Polje
Context triple: [Serbian Orthodox monasteries, historicalRegion, Kosovo Polje]
  • A. Kosovo Plain chosen
    The Kosovo Plain is a large, fertile basin in central Kosovo that serves as one of the country’s main agricultural and population centers.
  • B. Podragu Valley
    Podragu Valley is a scenic glacial valley in Romania’s Făgăraș Mountains, popular with hikers for its alpine landscapes, lakes, and access to high mountain trails.
  • C. Cetinje Field
    Cetinje Field is a historic karst plain in Montenegro that provided the geographic setting for the development of the old royal capital, Cetinje.
  • D. Jablanica
    Jablanica is a town in Bosnia and Herzegovina known for its location in the Neretva River valley and its historical World War II railway bridge.
  • E. Majdanpek
    Majdanpek is a Serbian mining town known for its large copper deposits and surrounding mountainous, forested landscapes in eastern Serbia.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24611926c81909b276ca3f406f15d completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c48e5c8190a387a4158362417a completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.