Triple
T1224170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Work-Study Program |
E26288
|
entity |
| Predicate | employmentLocation |
P1527
|
FINISHED |
| Object | on-campus jobs |
—
|
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: on-campus jobs | Statement: [Federal Work-Study Program, employmentLocation, on-campus jobs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employmentLocation Context triple: [Federal Work-Study Program, employmentLocation, on-campus jobs]
-
A.
recruitmentLocation
Indicates the place or geographic area where the recruitment or hiring of individuals occurs.
-
B.
locationOfWork
chosen
Indicates the place or site where an entity performs its work or carries out its professional activities.
-
C.
officeSoughtIn
Indicates that an entity is seeking, running for, or otherwise pursuing a particular office or position within a specified jurisdiction or context.
-
D.
countryOfHeadquartersOfEmployer
Indicates the country where the employing organization’s main headquarters is located.
-
E.
agencyLocatedIn
Indicates that an agency is situated or based within a specific geographic or administrative location.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be233fd88190996faf4105c0b8d7 |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb644af08190ba25905f20adb01a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.