Triple
T22151093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etterstad |
E547412
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Kværnerbyen |
E547419
|
NE 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: Kværnerbyen | Statement: [Etterstad, adjacentTo, Kværnerbyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kværnerbyen Context triple: [Etterstad, adjacentTo, Kværnerbyen]
-
A.
Kværnerbyen
chosen
Kværnerbyen is a modern residential and commercial neighborhood in Oslo, Norway, developed on the former Kværner industrial site along the Alna River.
-
B.
Bjørheimsbygd
Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
-
C.
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.
-
D.
Ryggebyen
Ryggebyen is a small urban settlement in Østfold, Norway, functioning as the main local hub for services and administration in the Rygge area.
-
E.
Teigebyen
Teigebyen is a village in Viken county, Norway, serving as the main local hub for municipal services and community life in Nannestad.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f37dac8190a7cecb12f4271515 |
completed | April 28, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9704f4988190b03783c006929ad7 |
completed | May 18, 2026, 4:35 a.m. |
Created at: April 16, 2026, 8:33 p.m.