Triple

T13216382
Position Surface form Disambiguated ID Type / Status
Subject Barmer E314627 entity
Predicate locatedIn P40 FINISHED
Object Barmer district E444344 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: Barmer district | Statement: [Barmer, locatedIn, Barmer district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barmer district
Context triple: [Barmer, locatedIn, Barmer district]
  • A. Barmer District chosen
    Barmer District is a large, arid district in the western Indian state of Rajasthan, known for its desert landscapes, border location near Pakistan, and rich folk culture.
  • B. Calw district
    Calw district is a rural administrative district in the northern Black Forest region of Baden-Württemberg, Germany, known for its forested landscapes, small towns, and spa resorts.
  • C. Waldeck-Frankenberg district
    Waldeck-Frankenberg district is a rural administrative district in northern Hesse, Germany, known for its reservoirs, natural landscapes, and historic towns.
  • D. Rastatt district
    Rastatt district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, located near the Black Forest and the Upper Rhine.
  • E. Aichach-Friedberg district
    Aichach-Friedberg is a rural district in the Bavarian region of Swabia in southern Germany, known for its small towns, agricultural landscape, and proximity to the city of Augsburg.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf28c9c819080d7b42d20f579d1 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1ebf648190a27d11b3dc494446 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:18 p.m.