Triple
T15198731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gianelli Pumping–Generating Plant |
E363207
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | San Luis Dam |
E328777
|
NE 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: San Luis Dam | Statement: [Gianelli Pumping–Generating Plant, connectedTo, San Luis Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Luis Dam Context triple: [Gianelli Pumping–Generating Plant, connectedTo, San Luis Dam]
-
A.
San Luis Dam
chosen
San Luis Dam is a major earthfill embankment dam in California that impounds the San Luis Reservoir, one of the largest off-stream storage reservoirs in the United States.
-
B.
Santa Fe Dam
Santa Fe Dam is a large flood-control and water-conservation dam and recreation area located in the San Gabriel Valley of Los Angeles County, California.
-
C.
Pueblo Dam
Pueblo Dam is a large multipurpose dam in Colorado that provides water storage, irrigation, and flood control as part of the Fryingpan–Arkansas water diversion and management system.
-
D.
Saluda Dam
Saluda Dam is a major hydroelectric and flood-control dam in South Carolina that forms Lake Murray on the Saluda River.
-
E.
La Mesa Dam
La Mesa Dam is a major water reservoir in Quezon City, Philippines, that supplies a significant portion of Metro Manila’s drinking water.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e82400819087dc782c1f48af39 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:10 a.m.