Triple
T7280446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Ultras |
E163132
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Hvannadalshnúkur |
E53364
|
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: Hvannadalshnúkur | Statement: [European Ultras, includes, Hvannadalshnúkur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hvannadalshnúkur Context triple: [European Ultras, includes, Hvannadalshnúkur]
-
A.
Hvannadalshnúkur
chosen
Hvannadalshnúkur is a prominent glaciated stratovolcano peak in southeast Iceland and the country’s highest mountain.
-
B.
Snaefell
Snaefell is a prominent mountain on the Isle of Man known for its panoramic views, from which it is said you can see six kingdoms on a clear day.
-
C.
Teide
Teide is a massive stratovolcano on Tenerife and one of Spain’s most prominent natural landmarks and tourist attractions.
-
D.
Tanngnjóstr
Tanngnjóstr is one of Thor’s two mythic goats in Norse mythology, known for pulling his chariot and being repeatedly slaughtered and resurrected.
-
E.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb339b1081909f648864e210f98e |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db379e1c81908ebd4c44504ce5fb |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.