Triple

T4795082
Position Surface form Disambiguated ID Type / Status
Subject Nagpur Junction railway station E106690 entity
Predicate connectsTo P845 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: [Nagpur Junction railway station, connectsTo, Ahmedabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahmedabad
Context triple: [Nagpur Junction railway station, connectsTo, 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. 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.
  • E. Indore
    Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6609e9888190b49f99bb9fb2279d completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d60ae3c8190aea53073a37d0c07 completed March 21, 2026, 7:48 a.m.
Created at: March 20, 2026, 1:22 p.m.