Triple
T26691865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastways Industrial Estate |
E672906
|
entity |
| Predicate | hostsBusinessType |
P22912
|
FINISHED |
| Object | manufacturing business |
—
|
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: manufacturing business | Statement: [Eastways Industrial Estate, hostsBusinessType, manufacturing business]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsBusinessType Context triple: [Eastways Industrial Estate, hostsBusinessType, manufacturing business]
-
A.
hostsOrganizationType
chosen
Indicates that an entity serves as the hosting venue or platform for organizations of a specified type.
-
B.
hostsCompany
Indicates that one entity provides space, infrastructure, or support for a company to operate, be located, or hold activities.
-
C.
hostsIndustry
Indicates that one entity provides the venue, infrastructure, or environment in which a particular industry operates or is based.
-
D.
hostsTypeOfEvent
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
E.
eligibleBusinessType
Indicates that a business entity qualifies under specified criteria to be considered an eligible type for a particular program, rule, or context.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 27, 2026, 3:26 a.m.