Triple
T3458375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Älvdalen |
E72961
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Älvdalen locality |
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 locality | Statement: [Älvdalen, seat, Älvdalen locality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Älvdalen locality Context triple: [Älvdalen, seat, Älvdalen locality]
-
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.
Falkenberg locality
Falkenberg locality is a district within Berlin’s Lichtenberg borough, known for its mix of residential areas, industrial zones, and remaining village-like structures on the city’s northeastern edge.
-
C.
Glåmdalen
Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
-
D.
Edsviken
Edsviken is a narrow bay of the Baltic Sea in the Stockholm area, known for its residential waterfronts, marinas, and recreational natural surroundings.
-
E.
Orkdalen
Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
- 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_69b36104a1048190b6fa9f552786a85a |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.