Triple

T10945458
Position Surface form Disambiguated ID Type / Status
Subject Chhapra E258584 entity
Predicate isAdministrativeHeadquartersOf P15001 FINISHED
Object Saran district E429903 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: Saran district | Statement: [Chhapra, isAdministrativeHeadquartersOf, Saran district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saran district
Context triple: [Chhapra, isAdministrativeHeadquartersOf, Saran district]
  • A. Saran district chosen
    Saran district is an administrative district in the Indian state of Bihar, known for its historical significance and location along the Ganges and Ghaghara rivers.
  • B. Sarine district
    Sarine district is an administrative district in the canton of Fribourg in western Switzerland, centered around the city of Fribourg and encompassing surrounding municipalities.
  • C. Andar District
    Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni Province.
  • D. Maran District
    Maran District is an administrative district in the state of Pahang, Malaysia, known for its rural landscape and agricultural activities.
  • E. Bade District
    Bade District is an urban district in Taoyuan City, Taiwan, known for its residential communities and growing industrial and commercial development.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770e9a89081908979efd1d9e6af66 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d733f7d88190b45df5c155ff5a46 completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.