Triple

T8193496
Position Surface form Disambiguated ID Type / Status
Subject Banjar E191369 entity
Predicate hasNearbyTown P3883 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: [Banjar, hasNearbyTown, Mandi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandi
Context triple: [Banjar, hasNearbyTown, 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c1d7aa48190adbbce88b3bed1a3 completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cceda1b22c8190acc1a2cd0fe36b70 completed April 1, 2026, 10:04 a.m.
Created at: March 30, 2026, 5:42 p.m.