Triple
T31070367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Đa Nhim Reservoir |
E791798
|
entity |
| Predicate | typeOfDamInfrastructure |
P15960
|
FINISHED |
| Object | hydropower reservoir |
—
|
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: hydropower reservoir | Statement: [Đa Nhim Reservoir, typeOfDamInfrastructure, hydropower reservoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDamInfrastructure Context triple: [Đa Nhim Reservoir, typeOfDamInfrastructure, hydropower reservoir]
-
A.
typeOfDamProject
Indicates that a given project is classified as a dam-related project (i.e., it is a project whose type is a dam project).
-
B.
typeOfDamSystem
Indicates that one entity is a classification or kind of dam system to which the other entity belongs or corresponds.
-
C.
typeOfConcreteDam
Indicates the specific kind or classification of a concrete dam that an instance belongs to.
-
D.
typeOfDam
chosen
Indicates the specific kind or classification of a dam associated with an entity.
-
E.
constructionMaterialOfDam
Indicates the material or materials used in the construction of a dam.
- 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_69f224cc0c5c81908404f087bff92997 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffa9677be08190852c8ef6c2545fed |
completed | May 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69ffa6570e2c8190a9d7b37f12b91d9a |
completed | May 9, 2026, 9:25 p.m. |
Created at: April 29, 2026, 9:01 p.m.