Triple

T12863611
Position Surface form Disambiguated ID Type / Status
Subject Jhalawar district E307658 entity
Predicate borderedBy P224 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: [Jhalawar district, borderedBy, Baran district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baran district
Context triple: [Jhalawar district, borderedBy, 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. 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.
  • D. Börde district
    Börde district is a rural administrative district in the German state of Saxony-Anhalt, known for its fertile agricultural land and location west of Magdeburg.
  • E. Cayma District
    Cayma District is an urban district in the Arequipa Province of southern Peru, situated on the slopes near the Misti volcano and forming part of the greater Arequipa metropolitan area.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708cf6b48190886a99e04d85d348 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bade6ec81908e3123b96837f104 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.