Triple

T417534
Position Surface form Disambiguated ID Type / Status
Subject Jianghan Plain E8026 entity
Predicate floodControlInfrastructure P7637 FINISHED
Object dikes 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: dikes | Statement: [Jianghan Plain, floodControlInfrastructure, dikes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: floodControlInfrastructure
Context triple: [Jianghan Plain, floodControlInfrastructure, dikes]
  • A. waterInfrastructure
    Indicates the existence, development, or management of systems and facilities that supply, store, treat, or distribute water between entities.
  • B. hasFloodProtectionProject chosen
    Indicates that a flood protection project exists or is implemented for the referenced entity.
  • C. hasFloodRisk
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • D. hasStructureOnWatercourse
    Indicates that a structure is physically located on, over, or directly associated with a specific watercourse.
  • E. waterwaySystem
    Indicates that one entity is part of, or belongs to, a connected network of waterways associated with another entity.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eebde1d881908fb212bfba9d7c67 completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edd1ca148190a66bd8c5aad867d5 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.