Triple
T30374086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac de Sainte-Croix |
E772630
|
entity |
| Predicate | floodedFormerVillage |
P120490
|
FINISHED |
| Object | Les Salles-sur-Verdon (old village site) |
—
|
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: Les Salles-sur-Verdon (old village site) | Statement: [Lac de Sainte-Croix, floodedFormerVillage, Les Salles-sur-Verdon (old village site)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floodedFormerVillage Context triple: [Lac de Sainte-Croix, floodedFormerVillage, Les Salles-sur-Verdon (old village site)]
-
A.
inundatedSettlement
chosen
Indicates that a settlement has been flooded or submerged by water, either partially or completely.
-
B.
floodedFor
Indicates that one entity is intentionally inundated or submerged with water (or another liquid) for the benefit, use, or purpose of another entity.
-
C.
residenceAfterFlood
Indicates that an entity’s place of residence is the one occupied after a flood event has occurred.
-
D.
demolishedBeforeFlooding
Indicates that one entity was demolished prior to the occurrence of a flooding event involving another entity.
-
E.
floodedOriginalSite
Indicates that the original location of something has been submerged or covered by floodwaters.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682863eb8819081c429f7c6259290 |
completed | May 2, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:59 p.m.