Triple

T13626977
Position Surface form Disambiguated ID Type / Status
Subject Faizabad Municipal Corporation E325609 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Faizabad city E64151 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: Faizabad city | Statement: [Faizabad Municipal Corporation, appliesToJurisdiction, Faizabad city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faizabad city
Context triple: [Faizabad Municipal Corporation, appliesToJurisdiction, Faizabad city]
  • A. Faizabad chosen
    Faizabad is a historic city in the Indian state of Uttar Pradesh that once served as the capital of the former princely state of Oudh (Awadh).
  • B. Faizabad
    Faizabad is a city in northeastern Afghanistan that served as the main stronghold and administrative center of the anti-Taliban government during the late 1990s.
  • C. Faizabad district
    Faizabad district is an administrative district in the Indian state of Uttar Pradesh, historically centered around the city of Faizabad near the religious town of Ayodhya.
  • D. Azimabad
    Azimabad is the former Mughal-era name of the Indian city now known as Patna, reflecting its historical significance under imperial rule.
  • E. Muhammadabad
    Muhammadabad is a town located in the Ghazipur district of the Indian state of Uttar Pradesh.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9c72c88190be3d7a3f2e96afbc completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d41d1108190be5193b246845f07 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:51 p.m.