Triple
T3670547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluefield micropolitan area |
E77866
|
entity |
| Predicate | laborMarketRole |
P50058
|
FINISHED |
| Object | small regional employment center |
—
|
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: small regional employment center | Statement: [Bluefield micropolitan area, laborMarketRole, small regional employment center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laborMarketRole Context triple: [Bluefield micropolitan area, laborMarketRole, small regional employment center]
-
A.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
B.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
C.
laborMarket
Indicates the relationship between workers seeking jobs and employers offering positions, including how wages, employment levels, and working conditions are determined through their interaction.
-
D.
positionInWork
Indicates the specific role, rank, or placement an entity holds within a larger work or structured composition.
-
E.
sharesLaborMarketWith
Indicates that two entities operate within the same or substantially overlapping labor market, drawing from and competing for a similar pool of workers.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42c96648190abbd5d23b25d6a6b |
completed | March 8, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:25 p.m.