Triple

T14943443
Position Surface form Disambiguated ID Type / Status
Subject River Fleet (culverted) E372587 entity
Predicate reasonForCulverting P116774 FINISHED
Object public health concerns 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: public health concerns | Statement: [River Fleet (culverted), reasonForCulverting, public health concerns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForCulverting
Context triple: [River Fleet (culverted), reasonForCulverting, public health concerns]
  • A. causeOfDrainage
    Indicates the factor or process that leads to or is responsible for the drainage of a substance, area, or system.
  • B. majorDrainageFor
    Indicates that one watercourse or drainage feature serves as the primary outlet or drainage system for another area or hydrologic feature.
  • C. floodCause
    Indicates that one entity is the cause or source of a flood affecting another entity or area.
  • D. eraOfMajorDrainageWorks
    Indicates the time period during which significant drainage or water-management construction activities took place.
  • E. hasStructureOnWatercourse
    Indicates that a structure is physically located on, over, or directly associated with a specific watercourse.
  • F. None of above. chosen

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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69de9a588c2c8190b1245a1c406f447c completed April 14, 2026, 7:49 p.m.
PDg Predicate description generation batch_69deb1a4d8dc8190a4c0841c20f2875f completed April 14, 2026, 9:29 p.m.
Created at: April 10, 2026, 2:38 a.m.