Triple

T19823569
Position Surface form Disambiguated ID Type / Status
Subject Garhshankar E476258 entity
Predicate hasNearbyCity P350 FINISHED
Object Nawanshahr NE NERFINISHED

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: Nawanshahr | Statement: [Garhshankar, hasNearbyCity, Nawanshahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nawanshahr
Context triple: [Garhshankar, hasNearbyCity, Nawanshahr]
  • A. Nawanshahr chosen
    Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
  • B. Gurdaspur
    Gurdaspur is a city in the northern Indian state of Punjab, known for its agricultural surroundings and proximity to the India–Pakistan border.
  • C. Hoshiarpur
    Hoshiarpur is a historic city in the Indian state of Punjab, known for its cultural heritage, educational institutions, and agricultural surroundings.
  • D. Phagwara
    Phagwara is a prominent industrial and commercial city in the Indian state of Punjab, known for its textile and agricultural machinery industries and its location on the major highway between Ludhiana and Jalandhar.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6550070c4819099e1f057b9a8849e completed April 20, 2026, 4:32 p.m.
Created at: April 10, 2026, 1:50 p.m.