Triple
T25562975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reșița |
E640764
|
entity |
| Predicate | industrialCenterOf |
P3436
|
FINISHED |
| Object | Banat |
—
|
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: Banat | Statement: [Reșița, industrialCenterOf, Banat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialCenterOf Context triple: [Reșița, industrialCenterOf, Banat]
-
A.
isIndustrialCenter
chosen
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
-
B.
isEarlyIndustrialCentreOf
Indicates that a place functioned as an important center of early industrial activity for another specified region or context.
-
C.
isUrbanAndIndustrialHub
Indicates that a place functions as a major center of urban activity and industrial production.
-
D.
industrialComplex
Indicates a relationship where a facility or site functions as a large-scale, integrated center for industrial production, processing, or related operations.
-
E.
servesIndustrialCity
Indicates that something functions to provide services, support, or utility to an industrial city.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8fa9fa0819098761026a7f9353d |
completed | May 2, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 3:47 p.m.