Triple
T18040514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solund Municipality |
E431637
|
entity |
| Predicate | hasAreaRankInNorway |
P55798
|
FINISHED |
| Object | small |
—
|
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: small | Statement: [Solund Municipality, hasAreaRankInNorway, small]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAreaRankInNorway Context triple: [Solund Municipality, hasAreaRankInNorway, small]
-
A.
rankInNorwayByArea
chosen
Indicates the position of an entity in an ordered list of areas within Norway, based on its size relative to others.
-
B.
isInFylke
Indicates that one entity (typically a place or municipality) is located within a specific Norwegian county (fylke).
-
C.
territoryRetainedByNorway
Indicates that a specified territory remains under the control, sovereignty, or possession of Norway.
-
D.
hasAreaRankInNigeria
Indicates that one entity holds a specific rank in terms of area size within the context of Nigeria.
-
E.
hasAreaRankInTaiwan
Indicates the relative ranking of an entity by its area size compared to other entities within Taiwan.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bfece6448190b4ba96075715bcef |
completed | April 19, 2026, 11:43 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.