Triple

T14606306
Position Surface form Disambiguated ID Type / Status
Subject Halasuru E342837 entity
Predicate hasAlternativeName P39 FINISHED
Object Ulsoor E344425 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: Ulsoor | Statement: [Halasuru, hasAlternativeName, Ulsoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulsoor
Context triple: [Halasuru, hasAlternativeName, Ulsoor]
  • A. Ulsoor chosen
    Ulsoor is a historic neighborhood in central Bengaluru, India, known for its large lake, temples, and dense residential and commercial areas.
  • B. Maduravoyal
    Maduravoyal is a residential and rapidly developing western suburb of Chennai in the Indian state of Tamil Nadu.
  • C. Adyar
    Adyar is a prominent neighborhood in Chennai, Tamil Nadu, known as an educational and residential hub that hosts major institutions and research centers.
  • D. Vadapalani
    Vadapalani is a bustling residential and commercial neighborhood in Chennai, India, known for its famous Murugan Temple and proximity to major film and television studios.
  • E. Guindy
    Guindy is a prominent neighborhood in Chennai, India, known for its major educational institutions, industrial estates, and the Guindy National Park.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44bf67c8190b4c48a7715f9443e completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94d09e988190a2a2a1332397b412 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.