Triple
T34071763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont de Corbières |
E873789
|
entity |
| Predicate | isInReservoirArea |
P39182
|
FINISHED |
| Object | Lac de la Gruyère |
—
|
NE NERFINISHED |
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: Lac de la Gruyère | Statement: [Pont de Corbières, isInReservoirArea, Lac de la Gruyère]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInReservoirArea Context triple: [Pont de Corbières, isInReservoirArea, Lac de la Gruyère]
-
A.
isReservoir
Indicates that one entity functions as a storage or holding container (often for fluids or resources) for another entity.
-
B.
isWithinLakeSystem
Indicates that one body of water is contained within, or forms a component of, a larger interconnected lake system.
-
C.
isInCatchment
Indicates that one entity lies within the geographic or service area covered or served by another entity.
-
D.
isInArea
chosen
Indicates that one entity is located within the spatial bounds or region defined by another entity.
-
E.
isInLake
Indicates that one entity is located within the body of water defined as a lake.
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:52 a.m.