Triple
T20127187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifteen Restaurant |
E490788
|
entity |
| Predicate | employmentOutcome |
P31572
|
FINISHED |
| Object | graduates placed in professional kitchens |
—
|
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: graduates placed in professional kitchens | Statement: [Fifteen Restaurant, employmentOutcome, graduates placed in professional kitchens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employmentOutcome Context triple: [Fifteen Restaurant, employmentOutcome, graduates placed in professional kitchens]
-
A.
employmentAction
Indicates an action or event that changes, initiates, or terminates an employment relationship between entities.
-
B.
employment
chosen
Indicates a relationship where one entity hires, contracts, or otherwise engages another to perform work or services, typically in exchange for compensation.
-
C.
careerStatus
Indicates the current stage, position, or condition of an entity within its professional or occupational life.
-
D.
employmentBased
Indicates a relationship or action where one entity’s status, condition, or eligibility is determined or derived from an employment relationship with another entity.
-
E.
peakEmployment
Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66743494c81908e63a5efca3aa3ea |
completed | April 20, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:31 p.m.