Triple
T29611588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Light Industrial Area Bhilai |
E754737
|
entity |
| Predicate | hostsIndustryType |
P12180
|
FINISHED |
| Object | small-scale manufacturing units |
—
|
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: small-scale manufacturing units | Statement: [Light Industrial Area Bhilai, hostsIndustryType, small-scale manufacturing units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsIndustryType Context triple: [Light Industrial Area Bhilai, hostsIndustryType, small-scale manufacturing units]
-
A.
hostsIndustry
chosen
Indicates that one entity provides the venue, infrastructure, or environment in which a particular industry operates or is based.
-
B.
hostsCompany
Indicates that one entity provides space, infrastructure, or support for a company to operate, be located, or hold activities.
-
C.
hostsOrganizationType
Indicates that an entity serves as the hosting venue or platform for organizations of a specified type.
-
D.
hostsTypeOfEvent
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
E.
occupantIndustry
Indicates the industry or sector in which an occupant (such as a tenant or user of a space) operates.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 6:28 p.m.