Triple

T11905134
Position Surface form Disambiguated ID Type / Status
Subject North Gujarat E283253 entity
Predicate includesDistrict P22582 FINISHED
Object Aravalli district E164757 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: Aravalli district | Statement: [North Gujarat, includesDistrict, Aravalli district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aravalli district
Context triple: [North Gujarat, includesDistrict, Aravalli district]
  • A. Aravalli district chosen
    Aravalli district is an administrative district in the state of Gujarat, India, named after and geographically associated with the ancient Aravalli mountain range.
  • B. Amethi district
    Amethi district is an administrative region in the Indian state of Uttar Pradesh, known for its political significance and location in the Awadh area.
  • C. Kharwar District
    Kharwar District is an administrative district in eastern Afghanistan, located within Logar Province.
  • D. Yamunanagar district
    Yamunanagar district is an administrative district in the northeastern part of the Indian state of Haryana, known for its industrial base and proximity to the Shivalik hills.
  • E. Sonipat district
    Sonipat district is an administrative region in northern India known for its rapidly developing urban centers, industrial growth, and proximity to the national capital, Delhi.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e525460c81909d855048d9c799bf completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f655515be48190a0793eef7b016852 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:44 p.m.