Triple
T29053163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Assessments Bureau |
E735318
|
entity |
| Predicate | typeOfWorkProduct |
P90900
|
FINISHED |
| Object | strategic assessments |
—
|
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: strategic assessments | Statement: [National Assessments Bureau, typeOfWorkProduct, strategic assessments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWorkProduct Context triple: [National Assessments Bureau, typeOfWorkProduct, strategic assessments]
-
A.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
B.
typeOfProducts
chosen
Indicates the kinds or categories of products that are associated with or offered by an entity.
-
C.
typeOfProject
Indicates the specific category or kind of project that an entity is associated with or classified under.
-
D.
typeOfWorkstation
Indicates the specific category or kind of workstation associated with an entity.
-
E.
natureOfItem
Indicates the inherent type, character, or fundamental qualities that define what an item is.
- 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 28, 2026, 10:09 a.m.