Triple
T25573630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. B. C. Roy Engineering College |
E641043
|
entity |
| Predicate | locatedInIndustrialCity |
P180761
|
FINISHED |
| Object | Durgapur |
—
|
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: Durgapur | Statement: [Dr. B. C. Roy Engineering College, locatedInIndustrialCity, Durgapur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInIndustrialCity Context triple: [Dr. B. C. Roy Engineering College, locatedInIndustrialCity, Durgapur]
-
A.
connectsToIndustrialArea
Indicates that one entity has a direct link, route, or access connection to an industrial area.
-
B.
locatedInFormerIndustrialArea
Indicates that an entity is situated within an area that was previously used for industrial purposes but is no longer active as such.
-
C.
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).
-
D.
servesIndustrialCity
Indicates that something functions to provide services, support, or utility to an industrial city.
-
E.
isIndustrialAreaOf
Indicates that a location functions primarily as an industrial zone or district associated with a specified area or jurisdiction.
- F. None of above. chosen
Provenance (4 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_69e75dc281bc819095ec04dc0c3a94d0 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: April 21, 2026, 3:59 p.m.