Triple
T5357776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Mesa Watershed |
E102741
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | La Mesa Dam |
E277845
|
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: La Mesa Dam | Statement: [La Mesa Watershed, hasPart, La Mesa Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Mesa Dam Context triple: [La Mesa Watershed, hasPart, La Mesa Dam]
-
A.
La Mesa Dam
chosen
La Mesa Dam is a major water reservoir in Quezon City, Philippines, that supplies a significant portion of Metro Manila’s drinking water.
-
B.
Red Rock Dam
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.
-
C.
Leaburg Dam
Leaburg Dam is a historic hydroelectric dam on Oregon’s McKenzie River that generates power and helps regulate river flow.
-
D.
Abiquiu Dam
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.
-
E.
Palisade Dam
Palisade Dam is an irrigation and water storage structure located on the Sevier River in central Utah, supporting local agriculture 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd863099b081909d20f7014b98de5a |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf70cca6cc81909e792f109410f816 |
completed | March 22, 2026, 4:32 a.m. |
Created at: March 20, 2026, 2:01 p.m.