Triple

T115210
Position Surface form Disambiguated ID Type / Status
Subject Punjab E2323 entity
Predicate hasPart P35 FINISHED
Object Punjab, India E2323 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: Punjab, India | Statement: [Punjab, hasPart, Punjab, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punjab, India
Context triple: [Punjab, hasPart, Punjab, India]
  • A. Punjab chosen
    Punjab is a historically and culturally rich region of South Asia, known for its fertile agricultural lands, Sikh heritage, and partition between modern-day India and Pakistan.
  • B. Sindh
    Sindh is a southeastern province of Pakistan known for its historical Indus Valley heritage, major cities like Karachi and Hyderabad, and a rich Sindhi cultural and linguistic tradition.
  • C. Uttar Pradesh
    Uttar Pradesh is a populous northern Indian state known for its political influence, rich cultural and religious heritage, and historic cities such as Varanasi and Agra.
  • D. Oudh
    Oudh was a historic region and former princely state in northern India, centered on present-day Lucknow, known for its rich culture, architecture, and role in the 1857 uprising against British rule.
  • E. Rajasthan
    Rajasthan is a northwestern Indian state known for its vast Thar Desert, historic Rajput forts and palaces, and rich cultural heritage.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a256f1278881909dc9c17113d2cca2 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2917c62d8819080f6f8330efb76ed completed Feb. 28, 2026, 6:55 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.