Triple
T16454250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courtaulds textile manufacturing |
E399632
|
entity |
| Predicate | employedInRegion |
P36913
|
FINISHED |
| Object | large local workforce in Braintree |
—
|
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: large local workforce in Braintree | Statement: [Courtaulds textile manufacturing, employedInRegion, large local workforce in Braintree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedInRegion Context triple: [Courtaulds textile manufacturing, employedInRegion, large local workforce in Braintree]
-
A.
employerInRegion
chosen
Indicates that an employer operates or has its primary business presence within a specified geographic region.
-
B.
employedTo
Indicates that one entity is hired or engaged to perform work, services, or duties for another entity.
-
C.
employedThrough
Indicates that an entity holds a job or work position by means of, or via the arrangement of, another entity (such as an agency, contractor, or intermediary).
-
D.
hasWorksLocatedIn
Indicates that the works or creations associated with an entity are situated or stored in a specified location.
-
E.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7c84fc8190bcb0df96bdec647e |
completed | April 18, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.