Triple
T16140268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calacuccia |
E391633
|
entity |
| Predicate | hasDamPurpose |
P22890
|
FINISHED |
| Object | hydroelectric power generation |
—
|
LITERAL 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: hydroelectric power generation | Statement: [Calacuccia, hasDamPurpose, hydroelectric power generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDamPurpose Context triple: [Calacuccia, hasDamPurpose, hydroelectric power generation]
-
A.
damPurpose
chosen
Indicates the primary function or intended use for which a dam has been constructed or is operated.
-
B.
hasDam
Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
-
C.
purposeOfConstruction
Indicates that one entity was constructed or built in order to serve, enable, or fulfill the function, goal, or intended use represented by another entity.
-
D.
typeOfDam
Indicates the specific kind or classification of a dam associated with an entity.
-
E.
isMajorDamOf
Indicates that one dam is the primary or most significant dam associated with a particular river, reservoir, or water system.
- F. None of above.
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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a07b7908190b4e1ec57f60a9274 |
completed | April 17, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.