Triple
T4920468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snaefell Mountain Course |
E110451
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Snaefell |
E20611
|
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: Snaefell | Statement: [Snaefell Mountain Course, namedAfter, Snaefell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snaefell Context triple: [Snaefell Mountain Course, namedAfter, Snaefell]
-
A.
Snaefell
chosen
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.
-
B.
Glámr
Glámr is a fearsome undead shepherd and one of the most notorious revenants in the Icelandic Grettis saga, whose haunting leads to the hero Grettir’s famed ghost-fight.
-
C.
Hvannadalshnúkur
Hvannadalshnúkur is a prominent glaciated stratovolcano peak in southeast Iceland and the country’s highest mountain.
-
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.
Gleipnir
Gleipnir is the magically forged, deceptively thin binding in Norse mythology that successfully restrains the monstrous wolf Fenrir.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6faa78b88190938bee2f81025083 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6ff4acd88190a308fbac84d3bad9 |
completed | March 21, 2026, 10:16 a.m. |
Created at: March 20, 2026, 1:29 p.m.