Triple
T20639080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongsvinger coat of arms |
E507170
|
entity |
| Predicate | previouslyInRegion |
P122422
|
FINISHED |
| Object | Hedmark county |
—
|
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: Hedmark county | Statement: [Kongsvinger coat of arms, previouslyInRegion, Hedmark county]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previouslyInRegion Context triple: [Kongsvinger coat of arms, previouslyInRegion, Hedmark county]
-
A.
previouslyIn
chosen
Indicates that an entity was located in, part of, or associated with another entity at some earlier time, but is not necessarily so now.
-
B.
previouslyOutside
Indicates that an entity was located outside a specified area or boundary at some earlier time prior to the current reference point.
-
C.
previouslyContainedRegion
Indicates that one region used to spatially contain another region at some earlier time, but does not necessarily do so now.
-
D.
observedInRegion
Indicates that something has been detected, recorded, or seen occurring within a specified geographic or spatial region.
-
E.
formerServesRegion
Indicates that an entity previously served, represented, or had official responsibility for a given region, but no longer does so.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad126b6481908d4e235bd73dda2e |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 16, 2026, 11:42 a.m.