Triple

T9744079
Position Surface form Disambiguated ID Type / Status
Subject Vikram Sarabhai E236261 entity
Predicate birthPlace P1 FINISHED
Object Ahmedabad E14357 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: Ahmedabad | Statement: [Vikram Sarabhai, birthPlace, Ahmedabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahmedabad
Context triple: [Vikram Sarabhai, birthPlace, 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 (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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2e5bb081908047e3bf5fe3991c completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c40b0db081908b956484e3ff44c0 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:23 p.m.