Triple

T36259437
Position Surface form Disambiguated ID Type / Status
Subject Rennes-les-Bains E892040 entity
Predicate spaWaterUse P68556 FINISHED
Object balneotherapy 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: balneotherapy | Statement: [Rennes-les-Bains, spaWaterUse, balneotherapy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spaWaterUse
Context triple: [Rennes-les-Bains, spaWaterUse, balneotherapy]
  • A. waterUse
    Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
  • B. hasWaterUse chosen
    Indicates a relationship where one entity utilizes or consumes water for a particular purpose, process, or function.
  • C. waterQualityUse
    Indicates the way in which water quality is evaluated, classified, or applied for specific purposes or uses.
  • D. waterUseAffects
    Indicates that one entity’s use of water has an impact or influence on another entity or condition.
  • E. usesWaterStorage
    Indicates that an entity relies on or incorporates stored water as part of its operation, function, or process.
  • 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_69f76e4699188190af045b11a840ce31 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba6d06f48190a71b5a2f19e2232f completed May 3, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69f7b9a4aad48190a62e41c5e39339d9 completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:09 p.m.