Triple

T2300199
Position Surface form Disambiguated ID Type / Status
Subject Saharsa district E51711 entity
Predicate isFloodProne P12640 FINISHED
Object true LITERAL 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: true | Statement: [Saharsa district, isFloodProne, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFloodProne
Context triple: [Saharsa district, isFloodProne, true]
  • A. hasFloodplain
    Indicates that an area or location lies within the floodplain associated with a particular water body or flooding source.
  • B. hasFloodRisk chosen
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • C. hasFloodplainType
    Indicates that an area or location is associated with a specific type or classification of floodplain.
  • D. hasFloodplainUse
    Indicates that a floodplain area is being used or designated for a particular purpose or activity.
  • E. hasSeasonalFlooding
    Indicates that an area regularly experiences flooding during specific, recurring times of the year.
  • F. None of above.

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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abcbabf01081908db3b42bc7c60444 completed March 7, 2026, 6:54 a.m.
PD Predicate disambiguation batch_69abc58ad33c8190b8d68af41b6f5e07 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.