Triple

T1351938
Position Surface form Disambiguated ID Type / Status
Subject Kosi E28900 entity
Predicate regionAffectedByFloods P25357 FINISHED
Object Bihar E60958 NE FINISHED

How this triple was built (3 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: Bihar | Statement: [Kosi, regionAffectedByFloods, Bihar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bihar
Context triple: [Kosi, regionAffectedByFloods, Bihar]
  • A. Bihar chosen
    Bihar is a populous state in eastern India known for its rich historical heritage, including ancient centers of learning like Nalanda and significant sites in Buddhist history.
  • B. Jharkhand
    Jharkhand is an eastern Indian state known for its rich mineral resources, significant tribal population, and extensive forests and plateaus.
  • C. Madhya Pradesh
    Madhya Pradesh is a large central Indian state known for its historical cities, diverse tribal cultures, and significant forested and wildlife areas including several major national parks.
  • D. Chhattisgarh
    Chhattisgarh is a state in central India known for its rich mineral resources, dense forests, tribal cultures, and growing industrial and power sectors.
  • E. West Bengal
    West Bengal is an eastern Indian state known for its cultural heritage, literature, and the metropolis of Kolkata (formerly Calcutta).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionAffectedByFloods
Context triple: [Kosi, regionAffectedByFloods, Bihar]
  • A. hasFloodRisk
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • B. hasSeasonalFlooding
    Indicates that an area regularly experiences flooding during specific, recurring times of the year.
  • C. hasFloodplain
    Indicates that an area or location lies within the floodplain associated with a particular water body or flooding source.
  • D. affectedU.S.State
    Indicates that a particular U.S. state is impacted or influenced by a specified event, condition, or entity.
  • E. frequentNaturalHazard chosen
    Indicates that a location or area regularly experiences natural hazards such as floods, earthquakes, storms, or similar events with notable frequency.
  • F. None of above.

Provenance (4 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26b1b4881908ae4b1b2c9b268a0 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69aea82191408190892e9a8e12504a8f completed March 9, 2026, 10:59 a.m.
PD Predicate disambiguation batch_69a4bef5857c81909ae984feb85a26ca completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:56 p.m.