Triple
T27105587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowell system of industrial organization |
E686567
|
entity |
| Predicate | wageSystem |
P99530
|
FINISHED |
| Object | deductions for room and board |
—
|
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: deductions for room and board | Statement: [Lowell system of industrial organization, wageSystem, deductions for room and board]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wageSystem Context triple: [Lowell system of industrial organization, wageSystem, deductions for room and board]
-
A.
laborSystem
Indicates the type or structure of work organization, employment arrangements, and labor relations that govern how work is performed and managed.
-
B.
basisOfWageDetermination
chosen
Indicates the factor or criteria used to determine the amount or structure of a wage.
-
C.
salaryType
Indicates the classification or structure of compensation associated with an entity, such as whether pay is salaried, hourly, commission-based, or another type.
-
D.
viewOnWages
Indicates a stance, opinion, or perspective that an entity holds regarding wages or wage-related issues.
-
E.
typeOfMinimumWage
Indicates the specific category or kind of minimum wage that applies in a given context (e.g., by sector, worker type, or legal framework).
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623fcc6c881908e76b65c0ee51dd4 |
completed | May 2, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 8:50 a.m.