Triple
T29611587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Light Industrial Area Bhilai |
E754737
|
entity |
| Predicate | primaryIndustrialType |
P101656
|
FINISHED |
| Object | light industry |
—
|
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: light industry | Statement: [Light Industrial Area Bhilai, primaryIndustrialType, light industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryIndustrialType Context triple: [Light Industrial Area Bhilai, primaryIndustrialType, light industry]
-
A.
isPrimarilyIndustrial
Indicates that the main or dominant use, function, or character of an entity is industrial in nature.
-
B.
industrializationType
Indicates the specific form or category of industrialization characterizing how industrial development occurs or is organized in relation to an entity.
-
C.
primarySectorActivity
chosen
Indicates the main industry or sector in which an entity primarily conducts its activities or operations.
-
D.
industrialCategory
Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
-
E.
industrialStructure
Indicates a structural or organizational relationship involving industrial facilities, systems, or frameworks.
- 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_6a01531add1c8190b51add7bb046e2cb |
completed | May 11, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_6a014fef3d8c81909b509d51d0c4cdc7 |
completed | May 11, 2026, 3:41 a.m. |
Created at: April 28, 2026, 6:28 p.m.