Triple
T14802554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelago |
E347943
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object | Bredbo |
E1078610
|
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: Bredbo | Statement: [Michelago, nearbyLocality, Bredbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bredbo Context triple: [Michelago, nearbyLocality, Bredbo]
-
A.
Bredbo
chosen
Bredbo is a small village in New South Wales, Australia, known historically as a coaching stop and for its proximity to the Monaro region’s grazing country.
-
B.
Follebu
Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
-
C.
Brynseng
Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
-
D.
Bolligen
Bolligen is a Swiss municipality in the canton of Bern, known as a residential community on the outskirts of the city of Bern.
-
E.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf30d044819082ac038e06481aab |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c4f690819087504fcfd2df8ba3 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:33 a.m.