Triple
T20238055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vouglans Dam |
E498204
|
entity |
| Predicate | reservoirCountryRank |
P139357
|
FINISHED |
| Object | one of the largest artificial lakes in France |
—
|
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: one of the largest artificial lakes in France | Statement: [Vouglans Dam, reservoirCountryRank, one of the largest artificial lakes in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirCountryRank Context triple: [Vouglans Dam, reservoirCountryRank, one of the largest artificial lakes in France]
-
A.
basinCountry
Indicates the country or countries within whose territory a river basin or drainage area is primarily located or through which it significantly extends.
-
B.
nearestLargeReservoir
Indicates that one entity is the closest large reservoir in distance to the other entity.
-
C.
rankInSouthAfricaByReservoirCapacity
Indicates the position of a reservoir in the ordered list of South African reservoirs when sorted by their storage capacity.
-
D.
countryWithLargestReservoirOnRiver
Indicates the country that contains the largest reservoir located on a given river.
-
E.
reservoirAlsoKnownAs
Indicates that a reservoir is referred to by an alternative name or alias.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716b4c148190bf663b8a747fbfa5 |
completed | April 20, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:40 p.m.