Triple

T19409906
Position Surface form Disambiguated ID Type / Status
Subject Adilabad district E485560 entity
Predicate headquarters P62 FINISHED
Object Adilabad NE NERFINISHED

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: Adilabad | Statement: [Adilabad district, headquarters, Adilabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adilabad
Context triple: [Adilabad district, headquarters, Adilabad]
  • A. Nizamabad
    Nizamabad is a major city in the Indian state of Telangana, known as an important commercial and administrative center for the surrounding region.
  • B. Medak
    Medak is a town in the Indian state of Telangana known for its historic fort and prominent churches, serving as an important local administrative and cultural center.
  • C. Medchal
    Medchal is a suburban area and rapidly developing residential–industrial locality on the northern outskirts of Hyderabad in the Indian state of Telangana.
  • D. Mahbubnagar
    Mahbubnagar is a town and district headquarters in the Indian state of Telangana, known for its agricultural surroundings and proximity to major rivers and irrigation projects.
  • E. Adilabad district chosen
    Adilabad district is an administrative region in the northern part of Telangana, India, known for its significant tribal population, forests, and cultural diversity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af3eaa081909e9537a2c57dc6c1 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.