Triple

T69733
Position Surface form Disambiguated ID Type / Status
Subject Vichy E1394 entity
Predicate hasThermalWaterUse P3796 FINISHED
Object treatment of digestive disorders 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: treatment of digestive disorders | Statement: [Vichy, hasThermalWaterUse, treatment of digestive disorders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThermalWaterUse
Context triple: [Vichy, hasThermalWaterUse, treatment of digestive disorders]
  • A. waterType
    Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
  • B. waterRequirement
    Indicates the amount or conditions of water needed for an entity to grow, function, or be maintained properly.
  • C. hasWaterQualityHistory
    Indicates that an entity is associated with a record or series of records describing changes or measurements of its water quality over time.
  • D. hasHydrosphere
    Indicates that an entity possesses or is characterized by a surrounding layer or system of water, such as oceans, seas, lakes, or other bodies of liquid water.
  • E. usesElectricityStandard
    Indicates that one entity operates according to, or is compatible with, the electricity supply standard defined or used by another entity.
  • 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24fd16c248190a6ee4cd96c388772 completed Feb. 28, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69a24eaa0df88190add55579b2b9fd02 completed Feb. 28, 2026, 2:10 a.m.
PDg Predicate description generation batch_69a24fcf5a88819088c5fa4c08476358 completed Feb. 28, 2026, 2:15 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.