Triple
T12745718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pueblo Reservoir |
E304598
|
entity |
| Predicate | formedByDam |
P25354
|
FINISHED |
| Object | Pueblo Dam |
E552544
|
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: Pueblo Dam | Statement: [Pueblo Reservoir, formedByDam, Pueblo Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pueblo Dam Context triple: [Pueblo Reservoir, formedByDam, Pueblo Dam]
-
A.
Pueblo Dam
chosen
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.
-
B.
Jemez Canyon Dam
Jemez Canyon Dam is a flood-control and water-management structure on the Jemez River in New Mexico, operated by the U.S. Army Corps of Engineers.
-
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.
Navajo Dam
Navajo Dam is a large earth- and rock-fill dam in northwestern New Mexico that creates Navajo Lake, providing water storage, irrigation, and flood control for the surrounding region.
-
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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd42fe08190a85467b1a998d2af |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c1ee7048190b2571364b25bd49d |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 9, 2026, 5:26 p.m.