Triple

T2136695
Position Surface form Disambiguated ID Type / Status
Subject Chew Reservoir E46669 entity
Predicate isPartOfWaterSystem P36984 FINISHED
Object North West England water supply network 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: North West England water supply network | Statement: [Chew Reservoir, isPartOfWaterSystem, North West England water supply network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPartOfWaterSystem
Context triple: [Chew Reservoir, isPartOfWaterSystem, North West England water supply network]
  • A. hasWaterRightsSystem
    Indicates that an entity possesses or is governed by a defined system regulating legal rights to use water resources.
  • B. hasWaterManagementIssue
    Indicates that an entity experiences problems or challenges related to the control, distribution, quality, or availability of water.
  • C. sourceOfWaterSupply
    Indicates that one entity serves as the origin or provider of another entity’s water supply.
  • D. waterType
    Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
  • E. hasWaterBalance
    Indicates that an entity maintains or exhibits a particular state or condition of water balance, such as hydration level or equilibrium between water intake and loss.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbf74147c81908793c3694894f94a completed March 7, 2026, 6:02 a.m.
PD Predicate disambiguation batch_69abbd96a3b0819081efbfef975e1513 completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abbf71edf08190add69022aabfd49d completed March 7, 2026, 6:02 a.m.
Created at: March 4, 2026, 7:44 p.m.