Triple
T3595986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skadi |
E76140
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | ski-goddess |
E76140
|
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: ski-goddess | Statement: [Skadi, epithet, ski-goddess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ski-goddess Context triple: [Skadi, epithet, ski-goddess]
-
A.
Skadi
chosen
Skadi is a giantess and goddess in Norse mythology associated with winter, skiing, mountains, and hunting.
-
B.
Ski
Ski is a town in Viken county, Norway, serving as a regional commercial and transport hub southeast of Oslo.
-
C.
Snowlets
Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
D.
Śnieżka
Śnieżka is a prominent mountain peak on the border of Poland and the Czech Republic, renowned as the tallest summit in the Sudetes range and a popular hiking destination.
-
E.
Piper Skih
Piper Skih is a musician best known for having been a member of the American alternative rock band Blue October.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19b26bc8190b3cc0613a1a98361 |
completed | March 8, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b403130cf081909bb90800d7dc2d6f |
completed | March 13, 2026, 12:29 p.m. |
Created at: March 8, 2026, 3:22 p.m.