Triple
T9769128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garreg Ddu Reservoir |
E237073
|
entity |
| Predicate | constructionMaterialOfDam |
P90534
|
FINISHED |
| Object | masonry |
—
|
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: masonry | Statement: [Garreg Ddu Reservoir, constructionMaterialOfDam, masonry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionMaterialOfDam Context triple: [Garreg Ddu Reservoir, constructionMaterialOfDam, masonry]
-
A.
typeOfDam
Indicates the specific kind or classification of a dam associated with an entity.
-
B.
bridgeMaterial
Indicates that a bridge is constructed from, or primarily composed of, a specified material.
-
C.
pyramidConstructionMaterial
Indicates the material from which a pyramid is built or primarily constructed.
-
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.
materialOfFortifications
Indicates that a specified material is used in the construction or composition of certain fortifications.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f0c64c81908f3435dd49c0218b |
completed | April 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:26 p.m.