Triple
T2638005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinity Dam |
E62793
|
entity |
| Predicate | reservoirTotalCapacity |
P42409
|
FINISHED |
| Object | approximately 2,448,000 acre-feet |
—
|
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: approximately 2,448,000 acre-feet | Statement: [Trinity Dam, reservoirTotalCapacity, approximately 2,448,000 acre-feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirTotalCapacity Context triple: [Trinity Dam, reservoirTotalCapacity, approximately 2,448,000 acre-feet]
-
A.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
-
B.
reservoirSurfaceArea
Indicates the total area covered by the surface of a reservoir.
-
C.
reservoirType
Indicates the specific kind or classification of a reservoir associated with an entity.
-
D.
majorReservoir
Indicates that one entity functions as a primary or significant water-storage reservoir associated with another entity.
-
E.
hasMajorReservoir
Indicates that an entity possesses or is associated with a primary or significant reservoir (such as a large storage or accumulation of a resource).
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8e470ac8190bd0d6de6805afcd0 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:53 p.m.