Triple

T16731859
Position Surface form Disambiguated ID Type / Status
Subject Faridabad Lok Sabha constituency E406610 entity
Predicate abbreviation P43 FINISHED
Object Faridabad LS E131142 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: Faridabad LS | Statement: [Faridabad Lok Sabha constituency, abbreviation, Faridabad LS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faridabad LS
Context triple: [Faridabad Lok Sabha constituency, abbreviation, Faridabad LS]
  • A. Faridabad chosen
    Faridabad is a major industrial city in northern India known for its manufacturing sector and its location within the National Capital Region near New Delhi.
  • B. Fatehabad
    Fatehabad is a town in the Indian state of Haryana that serves as an administrative and commercial center for the surrounding region.
  • C. Rewari
    Rewari is a historic city in the Indian state of Haryana, located near Delhi and known for its brass industry and strategic position in northern India.
  • D. Alipur
    Alipur is a locality in the northern part of Delhi, India, known for its role in regional governance and its mix of urban and semi-rural character.
  • E. Alipur
    Alipur is a city in southern Punjab, Pakistan, known as a local commercial and administrative center in the Muzaffargarh District.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c362bb88190921fab43d76c3ee8 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4a94688190aabe56c34e8cc2c3 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.