Triple

T13661732
Position Surface form Disambiguated ID Type / Status
Subject Amethi district E327013 entity
Predicate hasTown P847 FINISHED
Object Gauriganj E1055806 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: Gauriganj | Statement: [Amethi district, hasTown, Gauriganj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gauriganj
Context triple: [Amethi district, hasTown, Gauriganj]
  • A. Gauriganj chosen
    Gauriganj is a town in the Indian state of Uttar Pradesh that serves as the administrative and political center of the Amethi region.
  • B. Sitarganj
    Sitarganj is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural surroundings and growing industrial development.
  • C. Bhadgaon
    Bhadgaon is another name for Bhaktapur, a historic Newar city in the Kathmandu Valley of Nepal renowned for its well-preserved medieval architecture, art, and culture.
  • D. Khamgaon
    Khamgaon is a city in the Buldhana district of Maharashtra, India, known as a regional commercial and educational center.
  • E. Dharmanagar
    Dharmanagar is a prominent town and municipal council in the North Tripura district of the Indian state of Tripura, serving as an important local 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc620df208190afaccf3ddd10aa60 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d46c48c81908d64f1a32cf08c5b completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:52 p.m.