Triple

T17156178
Position Surface form Disambiguated ID Type / Status
Subject Dahod district E416348 entity
Predicate largestCity P235 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: [Dahod district, largestCity, Dahod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dahod
Context triple: [Dahod district, largestCity, 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. Dhrol
    Dhrol is a town in the Jamnagar district of Gujarat, India, known historically as the seat of the former princely Dhrol State.
  • E. Khargone
    Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40b402881908b8c01d7b957d0d2 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc46c308190b09efb13776747e7 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.