Triple
T23475004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nannestad |
E570237
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object | Teigebyen |
—
|
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: Teigebyen | Statement: [Nannestad, administrativeCentre, Teigebyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teigebyen Context triple: [Nannestad, administrativeCentre, Teigebyen]
-
A.
Teigebyen
chosen
Teigebyen is a village in Viken county, Norway, serving as the main local hub for municipal services and community life in Nannestad.
-
B.
Ryggebyen
Ryggebyen is a small urban settlement in Østfold, Norway, functioning as the main local hub for services and administration in the Rygge area.
-
C.
Nordby
Nordby is a village in the municipality of Ås in Viken county, Norway, known for its residential areas and proximity to the Oslo region.
-
D.
Tørvikbygd
Tørvikbygd is a small coastal village in the municipality of Kvam in Vestland county, western Norway, known for its scenic fjordside setting and traditional rural character.
-
E.
Bjørheimsbygd
Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a704e2a48190acb55f77a2124412 |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 6 p.m.