Triple
T4776851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nomini Hall |
E106071
|
entity |
| Predicate | hasLaborSystem |
P3027
|
FINISHED |
| Object | chattel slavery |
—
|
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: chattel slavery | Statement: [Nomini Hall, hasLaborSystem, chattel slavery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaborSystem Context triple: [Nomini Hall, hasLaborSystem, chattel slavery]
-
A.
laborSystem
chosen
Indicates the type or structure of work organization, employment arrangements, and labor relations that govern how work is performed and managed.
-
B.
hasLaborRepresentation
Indicates that an entity is represented by a labor organization, such as a union or workers’ council, in employment-related matters.
-
C.
laborProvision
Indicates the provision or supply of labor or workforce from one party to another for work or services.
-
D.
laborPolicy
Indicates a relationship where an authority or organization defines, regulates, or enforces rules and standards governing labor conditions, rights, and practices.
-
E.
mainLaborLaw
Indicates that the referenced law is the primary or governing labor/employment law applicable to the situation or entities involved.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.