Triple

T3860796
Position Surface form Disambiguated ID Type / Status
Subject Alamgir I E90130 entity
Predicate birthPlace P1 FINISHED
Object Dahod E92666 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: Dahod | Statement: [Alamgir I, birthPlace, Dahod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dahod
Context triple: [Alamgir I, birthPlace, Dahod]
  • A. Dahod chosen
    Dahod is a town in the Indian state of Gujarat, historically notable as the birthplace of the Mughal emperor Aurangzeb.
  • B. Navsari
    Navsari is a city in the Indian state of Gujarat known historically as a center of Parsi culture and commerce.
  • C. Jhabua
    Jhabua is a town and administrative district headquarters in western Madhya Pradesh, India, known for its significant tribal population and culture.
  • D. Khargone
    Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
  • E. Marvadi
    Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec212a1c8190aba6311630c3fd3e completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512348fe88190b5ae942809732b76 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:19 p.m.