Triple

T12226900
Position Surface form Disambiguated ID Type / Status
Subject Battle of Palkhed E291374 entity
Predicate locatedIn P40 FINISHED
Object Palkhed E291374 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: Palkhed | Statement: [Battle of Palkhed, locatedIn, Palkhed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palkhed
Context triple: [Battle of Palkhed, locatedIn, Palkhed]
  • A. Palkhed chosen
    Palkhed is a village in Maharashtra, India, historically notable as the site of the 1728 Battle of Palkhed between the Maratha Empire and the Nizam of Hyderabad.
  • B. Khandala
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • C. Khanapur
    Khanapur is a town in the Indian state of Karnataka known for its scenic surroundings, forested areas, and proximity to the Western Ghats.
  • D. Chandwad
    Chandwad is a town in the Nashik district of Maharashtra, India, known for its historical temples and hill forts.
  • E. Bhusawal
    Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca2101c8190955c36704935036a completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c60a7d081908e402c15b7e38596 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:51 p.m.