Triple
T36399157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Witten |
E896570
|
entity |
| Predicate | partOfHistoricalIndustrialRegion |
P49790
|
FINISHED |
| Object | Ruhr industrial region |
—
|
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: Ruhr industrial region | Statement: [City of Witten, partOfHistoricalIndustrialRegion, Ruhr industrial region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfHistoricalIndustrialRegion Context triple: [City of Witten, partOfHistoricalIndustrialRegion, Ruhr industrial region]
-
A.
partOfIndustrialRegion
chosen
Indicates that an entity is located within or belongs to a broader industrial region or industrially developed 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Indicates that an entity is situated within an area that was previously used for industrial purposes but is no longer active as such.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.
isIndustrialRegion
Indicates that a given area functions primarily as a center of industrial activity, characterized by significant manufacturing, production, or related industrial operations.
-
D.
partOfHistoricalArea
Indicates that one entity is located within or belongs to a designated historical area or heritage zone.
-
E.
containsFormerIndustrialAreas
Indicates that an area includes locations that were previously used for industrial purposes but are no longer active industrial sites.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00d24043e8819090cc473b6c0923d0 |
completed | May 10, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_6a00d1ec12fc81908c514ed088ef8300 |
completed | May 10, 2026, 6:43 p.m. |
Created at: May 3, 2026, 4:10 p.m.