Triple
T25962326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morrow Point Dam |
E645572
|
entity |
| Predicate | typeOfConcreteDam |
P183089
|
FINISHED |
| Object | thin double-curvature arch |
—
|
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: thin double-curvature arch | Statement: [Morrow Point Dam, typeOfConcreteDam, thin double-curvature arch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfConcreteDam Context triple: [Morrow Point Dam, typeOfConcreteDam, thin double-curvature arch]
-
A.
typeOfDam
Indicates the specific kind or classification of a dam associated with an entity.
-
B.
typeOfDamSystem
Indicates that one entity is a classification or kind of dam system to which the other entity belongs or corresponds.
-
C.
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).
-
D.
constructionMaterialOfDam
Indicates the material or materials used in the construction of a dam.
-
E.
typeOfSpillway
Indicates the specific kind or design category of a spillway associated with a structure or location.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: April 22, 2026, 8:47 a.m.