Triple
T17658045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurrungane |
E440175
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Store Styggedalstind
Store Styggedalstind is a prominent mountain peak in Norway’s Hurrungane range, known for its rugged alpine terrain and challenging climbing routes.
|
E1281279
|
NE FINISHED |
How this triple was built (4 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: Store Styggedalstind | Statement: [Hurrungane, contains, Store Styggedalstind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Store Styggedalstind Context triple: [Hurrungane, contains, Store Styggedalstind]
-
A.
Storlien
Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
-
B.
Stålstaden
Stålstaden is a Swedish city nickname referring to Eskilstuna’s historic role as a major steel and metalworking industrial center.
-
C.
Storvik
Storvik is a locality in Gävleborg County, Sweden, known historically as a railway junction and small industrial community.
-
D.
Store Trolltind
Store Trolltind is a prominent mountain peak in Norway’s Romsdal region, known for its dramatic cliffs and challenging alpine terrain.
-
E.
Stalens
Stalens is a French family name notably borne by actress and director Monique Stalens.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Store Styggedalstind Triple: [Hurrungane, contains, Store Styggedalstind]
Generated description
Store Styggedalstind is a prominent mountain peak in Norway’s Hurrungane range, known for its rugged alpine terrain and challenging climbing routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Store Styggedalstind Target entity description: Store Styggedalstind is a prominent mountain peak in Norway’s Hurrungane range, known for its rugged alpine terrain and challenging climbing routes.
-
A.
Storlien
Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
-
B.
Stålstaden
Stålstaden is a Swedish city nickname referring to Eskilstuna’s historic role as a major steel and metalworking industrial center.
-
C.
Storvik
Storvik is a locality in Gävleborg County, Sweden, known historically as a railway junction and small industrial community.
-
D.
Store Trolltind
Store Trolltind is a prominent mountain peak in Norway’s Romsdal region, known for its dramatic cliffs and challenging alpine terrain.
-
E.
Stalens
Stalens is a French family name notably borne by actress and director Monique Stalens.
- F. None of above. chosen
Provenance (5 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0216584eb88190afa898efae284934 |
completed | May 11, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_6a0218a828548190b492e721e546f224 |
completed | May 11, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02193505ec8190800570487768cf07 |
completed | May 11, 2026, 6 p.m. |
Created at: April 10, 2026, 9:33 a.m.