Triple
T38571605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo II territorial division |
E929290
|
entity |
| Predicate | definesArea |
P156667
|
FINISHED |
| Object | Area A |
—
|
LITERAL FINISHED |
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: Area A | Statement: [Oslo II territorial division, definesArea, Area A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesArea Context triple: [Oslo II territorial division, definesArea, Area A]
-
A.
areaDefinedAs
chosen
Indicates that one area is formally specified, delimited, or characterized in terms of another area or defining criteria.
-
B.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
C.
definesRegionAs
Indicates that one entity specifies or designates another entity as a particular region or regional scope.
-
D.
regulatedArea
Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
-
E.
codifiesArea
Indicates that something formally defines or specifies the rules, structure, or characteristics of a particular area or domain.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 3, 2026, 4:32 p.m.