Triple
T10078477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Chama |
E213834
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Abiquiu Dam |
E491026
|
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: Abiquiu Dam | Statement: [Rio Chama, hasDam, Abiquiu Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abiquiu Dam Context triple: [Rio Chama, hasDam, Abiquiu Dam]
-
A.
Abiquiu Dam
chosen
Abiquiu Dam is a major earthen flood-control and water-storage dam on the Rio Chama in northern New Mexico, forming Abiquiu Lake and supporting regional water management and recreation.
-
B.
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.
-
C.
El Vado Dam
El Vado Dam is a major earthfill dam on the Rio Chama in New Mexico, creating El Vado Lake for water storage, irrigation, and recreation.
-
D.
Leaburg Dam
Leaburg Dam is a historic hydroelectric dam on Oregon’s McKenzie River that generates power and helps regulate river flow.
-
E.
El Capitan Dam
El Capitan Dam is a large concrete arch dam in San Diego County, California, built for water storage, flood control, and recreation.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd030a0fc819084b523e8e63636fa |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dbe24a64819098bc94a8a62cc46b |
completed | April 10, 2026, 11:15 a.m. |
Created at: March 30, 2026, 9 p.m.