Triple
T23389765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Pedro Dam hydroelectric plant |
E593980
|
entity |
| Predicate | associatedDamType |
P152072
|
FINISHED |
| Object | concrete-faced rock-fill dam |
—
|
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: concrete-faced rock-fill dam | Statement: [Don Pedro Dam hydroelectric plant, associatedDamType, concrete-faced rock-fill dam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedDamType Context triple: [Don Pedro Dam hydroelectric plant, associatedDamType, concrete-faced rock-fill dam]
-
A.
associatedDam
Indicates a relationship where one entity is linked or connected to a specific dam, typically as its related or corresponding dam structure.
-
B.
associatedEventType
Indicates that one entity is linked to another by the type or category of event with which it is associated.
-
C.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
D.
associatedThrough
Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
-
E.
associatedSin
Indicates a relationship where one entity is linked or connected to a particular sin or wrongful act.
- F. None of above. chosen
Provenance (4 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49a7c14819082aab826715976c5 |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:35 p.m.