Triple

T5489357
Position Surface form Disambiguated ID Type / Status
Subject Punjabi University, Patiala E123662 entity
Predicate city P40 FINISHED
Object Patiala E307644 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: Patiala | Statement: [Punjabi University, Patiala, city, Patiala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patiala
Context triple: [Punjabi University, Patiala, city, Patiala]
  • A. Patiala chosen
    Patiala is a historic city in the Indian state of Punjab, known for its royal heritage, distinctive architecture, and cultural contributions such as the Patiala peg and Patiala salwar.
  • B. Ludhiana
    Ludhiana is a major industrial city in the Indian state of Punjab, known especially for its textile and hosiery manufacturing.
  • C. Jalandhar
    Jalandhar is a major city in the Indian state of Punjab, known as an important commercial and cultural center, particularly famous for its sports goods and manufacturing industries.
  • D. Ferozepur
    Ferozepur is a historic city in the Indian state of Punjab, known for its strategic location near the India–Pakistan border and its role in various military and independence-era events.
  • E. Kapurthala
    Kapurthala is a historic city in the Indian state of Punjab, noted for its distinctive Indo-French architectural heritage and former princely-state status.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927dcb848190a9d31e2435f8a755 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf91f16c9c819088e7671ccf006189 completed March 22, 2026, 6:53 a.m.
Created at: March 20, 2026, 2:10 p.m.