Triple
T33713650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borregaard industrial complex |
E863809
|
entity |
| Predicate | partOfIndustrialArea |
P49790
|
FINISHED |
| Object | Borregaard industrial site in Sarpsborg |
—
|
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: Borregaard industrial site in Sarpsborg | Statement: [Borregaard industrial complex, partOfIndustrialArea, Borregaard industrial site in Sarpsborg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfIndustrialArea Context triple: [Borregaard industrial complex, partOfIndustrialArea, Borregaard industrial site in Sarpsborg]
-
A.
partOfIndustrialRegion
chosen
Indicates that an entity is located within or belongs to a broader industrial region or industrially developed area.
-
B.
isIndustrialAreaOf
Indicates that a location functions primarily as an industrial zone or district associated with a specified area or jurisdiction.
-
C.
connectsToIndustrialArea
Indicates that one entity has a direct link, route, or access connection to an industrial area.
-
D.
hasIndustrialAreaType
Indicates that an entity’s industrial area is classified as a specific type or category of industrial zone.
-
E.
locatedInFormerIndustrialArea
Indicates that an entity is situated within an area that was previously used for industrial purposes but is no longer active as such.
- 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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: May 1, 2026, 1:44 a.m.