Triple
T25439332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khardaha |
E637458
|
entity |
| Predicate | partOfIndustrialBelt |
P49790
|
FINISHED |
| Object | Kolkata suburban industrial belt |
—
|
NE NERFINISHED |
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: Kolkata suburban industrial belt | Statement: [Khardaha, partOfIndustrialBelt, Kolkata suburban industrial belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfIndustrialBelt Context triple: [Khardaha, partOfIndustrialBelt, Kolkata suburban industrial belt]
-
A.
partOfIndustrialRegion
chosen
Indicates that an entity is located within or belongs to a broader industrial region or industrially developed area.
-
B.
hasIndustrialZoneAlong
Indicates that an industrial zone is located adjacent to or extending along the length of a specified linear feature (such as a road, river, or boundary).
-
C.
connectsToIndustrialArea
Indicates that one entity has a direct link, route, or access connection to an industrial area.
-
D.
hasFamousIndustrialCorridor
Indicates that a place or region contains a well-known industrial corridor recognized for its concentration of industrial or manufacturing activity.
-
E.
isIndustrialCorridor
Indicates that an area or route is designated and used primarily for industrial activities, facilities, or transportation.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 21, 2026, 2 p.m.