Triple
T3458392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Älvdalen |
E72961
|
entity |
| Predicate | hasPopulationCenter |
P2106
|
FINISHED |
| Object | Älvdalen town |
E72961
|
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: Älvdalen town | Statement: [Älvdalen, hasPopulationCenter, Älvdalen town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Älvdalen town Context triple: [Älvdalen, hasPopulationCenter, Älvdalen town]
-
A.
Älvdalen
chosen
Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
-
B.
Risberg
Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
-
C.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
D.
Oppdal
Oppdal is a Norwegian mountain municipality and popular ski and outdoor recreation destination in central Norway.
-
E.
Edsviken
Edsviken is a narrow bay of the Baltic Sea in the Stockholm area, known for its residential waterfronts, marinas, and recreational natural surroundings.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae36e748190bf20fd3c6de22e19 |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680170e081909c0d3a39a741280d |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:16 p.m.