Triple
T34637649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey (Metro-North operated segments) |
E889472
|
entity |
| Predicate | connectsLaborMarket |
P43644
|
FINISHED |
| Object | New Jersey suburbs |
—
|
NE NERFINISHED |
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: New Jersey suburbs | Statement: [New Jersey (Metro-North operated segments), connectsLaborMarket, New Jersey suburbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsLaborMarket Context triple: [New Jersey (Metro-North operated segments), connectsLaborMarket, New Jersey suburbs]
-
A.
sharesLaborMarketWith
chosen
Indicates that two entities operate within the same or substantially overlapping labor market, drawing from and competing for a similar pool of workers.
-
B.
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.
-
C.
laborMarketTest
Indicates that an employer has attempted to recruit suitable local or domestic workers before offering the position to a foreign or non-local candidate.
-
D.
laborMarketUsage
Indicates how an entity utilizes, participates in, or depends on the labor market for work, hiring, or employment-related activities.
-
E.
laborMarketEffect
Indicates the impact that an action, policy, or condition has on employment, wages, or other labor market outcomes.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff63225b6481909217ad11b4f7d3ba |
completed | May 9, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ff60e0882c819085d097010db43ee0 |
completed | May 9, 2026, 4:29 p.m. |
Created at: May 1, 2026, 2:04 a.m.