Triple

T13679889
Position Surface form Disambiguated ID Type / Status
Subject Fonserannes Locks E327971 entity
Predicate waterLevelChange P99547 FINISHED
Object about 21.5 metres 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: about 21.5 metres | Statement: [Fonserannes Locks, waterLevelChange, about 21.5 metres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterLevelChange
Context triple: [Fonserannes Locks, waterLevelChange, about 21.5 metres]
  • A. waterLevelRise
    Indicates that the level of water in a given area or container has increased over time.
  • B. waterLevelTrend chosen
    Indicates the direction and rate at which a body of water’s level is changing over time (e.g., rising, falling, or stable).
  • C. waterVolume
    Indicates the amount of water present in or associated with an entity, typically measured as a volume.
  • D. hasNormalWaterLevel
    Indicates that an entity’s water level is within the expected or standard range, neither abnormally high nor low.
  • E. reservoirElevation
    Indicates the height or level of water stored in a reservoir relative to a defined reference point.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66cbb088190907cb89dda8e4ebd completed April 12, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69dbbe8d8d0881908d6e89954f44eed4 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:53 p.m.