Triple

T4611825
Position Surface form Disambiguated ID Type / Status
Subject Beas E100575 entity
Predicate locatedBetween P1262 FINISHED
Object Jalandhar E321282 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: Jalandhar | Statement: [Beas, locatedBetween, Jalandhar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalandhar
Context triple: [Beas, locatedBetween, Jalandhar]
  • A. Jalandhar chosen
    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.
  • B. Ludhiana
    Ludhiana is a major industrial city in the Indian state of Punjab, known especially for its textile and hosiery manufacturing.
  • C. 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.
  • D. Hoshiarpur
    Hoshiarpur is a historic city in the Indian state of Punjab, known for its cultural heritage, educational institutions, and agricultural surroundings.
  • E. Patiala
    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.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59bffbf08190b13ef0810e6f9d19 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39939efc8190a3f49e1315f35782 completed March 21, 2026, 6:24 a.m.
Created at: March 20, 2026, 1:12 p.m.