Triple
T10450583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rakkestad |
E246410
|
entity |
| Predicate | hasAdministrativeCentre |
P1474
|
FINISHED |
| Object | Rakkestad village |
E277705
|
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: Rakkestad village | Statement: [Rakkestad, hasAdministrativeCentre, Rakkestad village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rakkestad village Context triple: [Rakkestad, hasAdministrativeCentre, Rakkestad village]
-
A.
Rakkestad
chosen
Rakkestad is a rural municipality in Viken county, southeastern Norway, known for its agriculture and forests.
-
B.
Spikkestad
Spikkestad is a village in Asker Municipality, Norway, serving as a terminus on a local commuter rail line and functioning largely as a residential suburb for the Oslo region.
-
C.
Nannestad
Nannestad is a rural municipality in Viken county, Norway, known for its agricultural landscape and proximity to Oslo Airport Gardermoen.
-
D.
Røyrvik
Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
-
E.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0a6a548190a54212912f618e4e |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc43e53081909e14cfe295d17cb2 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:17 p.m.