Triple

T15247237
Position Surface form Disambiguated ID Type / Status
Subject Tumakuru district E364414 entity
Predicate bordersDistrict P224 FINISHED
Object Hassan district E864132 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: Hassan district | Statement: [Tumakuru district, bordersDistrict, Hassan district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hassan district
Context triple: [Tumakuru district, bordersDistrict, Hassan district]
  • A. Hassan district chosen
    Hassan district is an administrative region in the state of Karnataka, India, known for its rich Hoysala-era temple architecture and agricultural prominence.
  • B. Sheikh Othman District
    Sheikh Othman District is an urban administrative district within the city of Aden in southern Yemen, known for its dense population, markets, and role as a key residential and commercial area.
  • C. Rashidan District
    Rashidan District is an administrative district in central Afghanistan known for its rural communities within Ghazni Province.
  • D. Mizan District
    Mizan District is an administrative district located within Zabul Province in southern Afghanistan.
  • E. Al-Kiswah District
    Al-Kiswah District is an administrative district in southern Syria, located within the Rif Dimashq Governorate near the capital Damascus.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd491cd881908bad9660af9b6b8f completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:13 a.m.