Triple
T14377322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Härjedalen |
E356507
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Helagsfjället |
E875714
|
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: Helagsfjället | Statement: [Härjedalen, highestPoint, Helagsfjället]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helagsfjället Context triple: [Härjedalen, highestPoint, Helagsfjället]
-
A.
Helagsfjället
chosen
Helagsfjället is a prominent mountain massif in Sweden known for its glacier, popular hiking trails, and rich alpine scenery.
-
B.
Higravstinden
Higravstinden is a prominent mountain peak in Norway’s Lofoten archipelago, known for its rugged alpine terrain and striking coastal views.
-
C.
Råðdjärum
Råðdjärum is the Elfdalian-language name for the Elfdalian Language Council, an organization dedicated to preserving and promoting the Elfdalian language.
-
D.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
E.
Glittertind
Glittertind is one of Norway’s highest mountains, located in the Jotunheimen range and known for its glacier-capped summit.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900949fc81909be0da1734c46645 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5728fc819089ef3c7c34b10101 |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:16 a.m.