Triple
T469782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Works Administration |
E8528
|
entity |
| Predicate | scaleOfProjects |
P10773
|
FINISHED |
| Object | major capital-intensive construction |
—
|
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: major capital-intensive construction | Statement: [Public Works Administration, scaleOfProjects, major capital-intensive construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleOfProjects Context triple: [Public Works Administration, scaleOfProjects, major capital-intensive construction]
-
A.
majorProject
Indicates that an entity is a primary, large-scale, or most significant project associated with another entity.
-
B.
operationScale
chosen
Indicates the relative size, scope, or magnitude at which an operation or activity is conducted.
-
C.
collaborationSize
Indicates the number of participants involved together in a given collaborative relationship or activity.
-
D.
overseesProject
Indicates that one entity has responsibility for supervising, managing, or directing the progress and execution of a project involving another entity.
-
E.
hasNotableProject
Indicates that an entity is associated with a project that is distinguished or recognized as significant in some way.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efef8b788190857ebf66df562d59 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edebb3988190907992a584b4e260 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.