Triple
T27907807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petenwell Dam |
E705833
|
entity |
| Predicate | waterBodyCreatedAreaRankInWisconsin |
P176717
|
FINISHED |
| Object | one of the largest reservoirs in Wisconsin |
—
|
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 reservoirs in Wisconsin | Statement: [Petenwell Dam, waterBodyCreatedAreaRankInWisconsin, one of the largest reservoirs in Wisconsin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterBodyCreatedAreaRankInWisconsin Context triple: [Petenwell Dam, waterBodyCreatedAreaRankInWisconsin, one of the largest reservoirs in Wisconsin]
-
A.
rankByVolumeInGreatLakes
Indicates the relative ordering of entities based on their water volume within the Great Lakes.
-
B.
lakeArea
Indicates the surface area measurement of a lake.
-
C.
waterAreaNowKnownAs
Indicates that a body of water previously known by another name or designation is currently recognized or referred to by a specified new name.
-
D.
hasAreaWaterBody
Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
-
E.
reservoirSurfaceArea
Indicates the total area covered by the surface of a reservoir.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e60109648190947a64ca4ce81a3a |
completed | May 3, 2026, 6:06 a.m. |
Created at: April 27, 2026, 6:47 p.m.