Triple
T8365088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roseires Dam |
E197106
|
entity |
| Predicate | damTypeDetail |
P15960
|
FINISHED |
| Object | combined concrete buttress and earth-fill structure |
—
|
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: combined concrete buttress and earth-fill structure | Statement: [Roseires Dam, damTypeDetail, combined concrete buttress and earth-fill structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: damTypeDetail Context triple: [Roseires Dam, damTypeDetail, combined concrete buttress and earth-fill structure]
-
A.
typeOfDam
chosen
Indicates the specific kind or classification of a dam associated with an entity.
-
B.
damPurpose
Indicates the primary function or intended use for which a dam has been constructed or is operated.
-
C.
damName
Indicates that an entity is identified by or associated with the specific name of a dam.
-
D.
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).
-
E.
drainageType
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808bc22481909ce2f8b48cc95806 |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.