Triple
T25064332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WorkForce West Virginia |
E627741
|
entity |
| Predicate | workerService |
P157922
|
FINISHED |
| Object | job search assistance |
—
|
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: job search assistance | Statement: [WorkForce West Virginia, workerService, job search assistance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workerService Context triple: [WorkForce West Virginia, workerService, job search assistance]
-
A.
workerCaste
Indicates a relationship where an entity belongs to or is classified within a particular worker caste or labor-based social group.
-
B.
workerTrait
Indicates that a worker possesses a particular characteristic, quality, or attribute.
-
C.
workDistributor
Indicates that one entity is responsible for assigning, allocating, or distributing work or tasks to others.
-
D.
parallelService
Indicates that two or more services operate concurrently or in parallel rather than sequentially.
-
E.
WWIService
Indicates that an entity served in a military capacity during World War I.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4599c81148190b84e8d46368a6677 |
completed | May 1, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 6:10 a.m.