Triple
T7914536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Des Moines River |
E183785
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Red Rock Dam |
E94234
|
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: Red Rock Dam | Statement: [Des Moines River, hasDam, Red Rock Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Rock Dam Context triple: [Des Moines River, hasDam, Red Rock Dam]
-
A.
Red Rock Dam
chosen
Red Rock Dam is a large flood-control and hydroelectric dam on the Des Moines River in central Iowa, forming Lake Red Rock as the state’s largest reservoir.
-
B.
Palisade Dam
Palisade Dam is an irrigation and water storage structure located on the Sevier River in central Utah, supporting local agriculture and recreation.
-
C.
Coolidge Dam
Coolidge Dam is a large concrete multiple-arch dam in Arizona that impounds the Gila River to form San Carlos Lake for irrigation, flood control, and water storage.
-
D.
Sherman Dam
Sherman Dam is a hydroelectric and flood-control structure located on the Deerfield River in the northeastern United States.
-
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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a759b548190af2e2aa0705d7051 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1c56d07481909083f028b2b5673f |
completed | April 2, 2026, 7:35 a.m. |
Created at: March 30, 2026, 5:04 p.m.