Triple
T37281996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dents du Chablais |
E925422
|
entity |
| Predicate | closestMajorLake |
P118826
|
FINISHED |
| Object | Lake Geneva |
—
|
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: Lake Geneva | Statement: [Dents du Chablais, closestMajorLake, Lake Geneva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestMajorLake Context triple: [Dents du Chablais, closestMajorLake, Lake Geneva]
-
A.
nearestLargeLake
chosen
Indicates that one entity is the closest large lake in distance to the other entity.
-
B.
isLargestReservoirNear
Indicates that one entity is the largest reservoir in size or capacity among those located near the other entity.
-
C.
nearbyLargerLake
Indicates that one entity is a lake located near another lake that is larger in size.
-
D.
hasMajorLake
Indicates that a geographic region or area contains at least one significant lake within its boundaries.
-
E.
nearestLargeBodyOfWater
Indicates the closest significant body of water in proximity to a given location or entity.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 3, 2026, 4:16 p.m.