Triple

T15249595
Position Surface form Disambiguated ID Type / Status
Subject Baran E364481 entity
Predicate administrativeDivision P747 FINISHED
Object Baran district E307657 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: Baran district | Statement: [Baran, administrativeDivision, Baran district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baran district
Context triple: [Baran, administrativeDivision, Baran district]
  • A. Baran district chosen
    Baran district is an administrative district in the state of Rajasthan, India, known for its rural landscape, historical sites, and cultural heritage.
  • B. Kagizman District
    Kagizman District is an administrative district in Turkey that encompasses the town of Kağızman and its surrounding rural areas.
  • C. Gurbuz District
    Gurbuz District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
  • D. Sergelen District
    Sergelen District is a district (sum) in Mongolia that includes the area served by Chinggis Khaan International Airport, the country’s main international air gateway.
  • E. Kurtalan District
    Kurtalan District is an administrative district in southeastern Turkey known for its predominantly Kurdish population and its location within Siirt Province.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f62b9c8190b9ad40e2d1912b63 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f184d481909eb4294ee3648226 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.