Triple

T16815188
Position Surface form Disambiguated ID Type / Status
Subject Kalisindh River E408725 entity
Predicate flowsNear P350 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: [Kalisindh River, flowsNear, Baran district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baran district
Context triple: [Kalisindh River, flowsNear, 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0f863081908e74dc4a7c91e91d completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.