Triple
T36064329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac de Vouglans |
E1043176
|
entity |
| Predicate | rankInFranceByReservoirVolume |
P190088
|
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: [Lac de Vouglans, rankInFranceByReservoirVolume, one of the largest artificial lakes in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInFranceByReservoirVolume Context triple: [Lac de Vouglans, rankInFranceByReservoirVolume, one of the largest artificial lakes in France]
-
A.
nearestLargeReservoir
Indicates that one entity is the closest large reservoir in distance to the other entity.
-
B.
rankInSwedenByReservoirVolume
Indicates the position of an entity in an ordered list of entities in Sweden, sorted by the size of their reservoir volume.
-
C.
reservoirCountryRank
Indicates the relative ranking of a country based on the size, capacity, or number of its reservoirs compared to other countries.
-
D.
reservoirLiveStorageCapacity_m3
Indicates the volume of water that a reservoir can actively store and use, measured in cubic meters.
-
E.
reservoirCountry
Indicates that a country contains or hosts the reservoir associated with the referenced 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4:08 p.m.