Triple

T9147054
Position Surface form Disambiguated ID Type / Status
Subject Mandy E219482 entity
Predicate hasVariantForm P457 FINISHED
Object Mandi E74210 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: Mandi | Statement: [Mandy, hasVariantForm, Mandi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandi
Context triple: [Mandy, hasVariantForm, Mandi]
  • A. Mandi chosen
    Mandi is a historic town and important commercial and cultural center located along the Beas River in the Indian state of Himachal Pradesh.
  • B. Mandi
    Mandi is a critically acclaimed 1983 Indian satirical film directed by Shyam Benegal, known for its ensemble cast and sharp social commentary on politics, morality, and the sex trade.
  • C. Modinagar
    Modinagar is an industrial and educational town in the Indian state of Uttar Pradesh, historically known for its textile and sugar mills.
  • D. Karnal
    Karnal is a historic city in the Indian state of Haryana, known for its agricultural significance and strategic location along the Grand Trunk Road between Delhi and Chandigarh.
  • E. Modasa
    Modasa is a town in the Indian state of Gujarat that serves as the administrative headquarters of Aravalli district.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca918a3c881909c34a6a682eb2625 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0482995cc81909bfc202cbab7f8a1 completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.