Triple

T12741982
Position Surface form Disambiguated ID Type / Status
Subject Majha (Punjab) E304509 entity
Predicate containsCity P294 FINISHED
Object Tarn Taran E307411 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: Tarn Taran | Statement: [Majha (Punjab), containsCity, Tarn Taran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarn Taran
Context triple: [Majha (Punjab), containsCity, Tarn Taran]
  • A. Tarn Taran chosen
    Tarn Taran is a historic town in the Majha region of Punjab, India, known for its significant Sikh religious heritage and prominent gurdwaras.
  • B. Taranagar
    Taranagar is a town in the Churu district of Rajasthan, India, known for its regional trade, educational institutions, and cultural heritage.
  • C. Ropar
    Ropar is the former name of Rupnagar, a historic town in the Indian state of Punjab known for its archaeological significance and location on the banks of the Sutlej River.
  • D. Tathra
    Tathra is a coastal town on the Sapphire Coast of New South Wales, Australia, known for its historic wharf, scenic beaches, and fishing.
  • E. Thatta
    Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd321bc81908eb61cc05b550754 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c91ed7c81909165dc300d5b23ae completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.