Triple

T20961370
Position Surface form Disambiguated ID Type / Status
Subject Muhammad Shah II E516253 entity
Predicate capitalCityContext P36436 FINISHED
Object Ahmedabad NE NERFINISHED

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: Ahmedabad | Statement: [Muhammad Shah II, capitalCityContext, Ahmedabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahmedabad
Context triple: [Muhammad Shah II, capitalCityContext, Ahmedabad]
  • A. Ahmedabad chosen
    Ahmedabad is a major city in the western Indian state of Gujarat, known for its rich history, textile industry, and role as an important economic and cultural center.
  • B. Vadodara
    Vadodara is a major city in western India known for its rich cultural heritage, educational institutions, and industrial development.
  • C. Gandhinagar
    Gandhinagar is a planned city in western India known for serving as the administrative and political center of the state of Gujarat.
  • D. Ahmedabad and Gandhinagar
    Ahmedabad and Gandhinagar are twin cities in the Indian state of Gujarat, with Ahmedabad serving as its largest commercial hub and Gandhinagar as the planned state capital.
  • E. Bhuj
    Bhuj is a historic city in the Kutch district of Gujarat, India, known for its rich cultural heritage, traditional handicrafts, and role as a regional commercial and administrative center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:31 p.m.