Triple

T13591217
Position Surface form Disambiguated ID Type / Status
Subject Mandya district E324695 entity
Predicate borderedBy 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: [Mandya district, borderedBy, Hassan district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hassan district
Context triple: [Mandya district, borderedBy, 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. Rashidan District
    Rashidan District is an administrative district in central Afghanistan known for its rural communities within Ghazni Province.
  • C. Mizan District
    Mizan District is an administrative district located within Zabul Province in southern Afghanistan.
  • D. Al-Kiswah District
    Al-Kiswah District is an administrative district in southern Syria, located within the Rif Dimashq Governorate near the capital Damascus.
  • E. Nuqat al Khams District
    Nuqat al Khams District is a coastal administrative region in northwestern Libya, located along the Mediterranean Sea near the border with Tunisia.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb056ce088190a6feb4266633d18b completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942a29b88190acefc8b3b91d849f completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:49 p.m.