Triple

T15806004
Position Surface form Disambiguated ID Type / Status
Subject Gorokan E383217 entity
Predicate hasNearbySuburb P41355 FINISHED
Object Kanwal E1072101 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: Kanwal | Statement: [Gorokan, hasNearbySuburb, Kanwal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanwal
Context triple: [Gorokan, hasNearbySuburb, Kanwal]
  • A. Kanwal chosen
    Kanwal is a residential suburb on the Central Coast of New South Wales, Australia, known for its family-friendly community and proximity to local schools, parks, and medical facilities.
  • B. Gurbaksh
    Gurbaksh is the given name of Gurbaksh Singh Dhillon, an Indian nationalist and officer of the Indian National Army known for his role in the independence movement.
  • C. Barindar
    Barindar is a personal name, likely a variant spelling of the name Barindra used in similar cultural or linguistic contexts.
  • D. Lakhani
    Lakhani is a town in the Banaskantha district of Gujarat, India, known as a local commercial and administrative center for the surrounding rural region.
  • E. Balbir
    Balbir is the given first name of the Indian actor and film producer Shashi Kapoor.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52682548190998d8b6a08982877 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998d17648190b9f020632461965f completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.