Triple
T6592348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo commuter rail |
E148391
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Ski |
E245864
|
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 | Statement: [Oslo commuter rail, connects, Ski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ski Context triple: [Oslo commuter rail, connects, Ski]
-
A.
Ski
chosen
Ski is a town in Viken county, Norway, serving as a regional commercial and transport hub southeast of Oslo.
-
B.
Ski
Ski is an American hip-hop record producer best known for his work with artists like Jay-Z and Camp Lo during the 1990s.
-
C.
KitzSki
KitzSki is a major Austrian ski resort area renowned for its extensive slopes, modern lift system, and the famous Hahnenkamm downhill race.
-
D.
Nordic skiing
Nordic skiing is a category of winter sports that involves traveling over snow on skis using the skier’s own locomotion, including disciplines like cross-country skiing and ski jumping.
-
E.
Ski Apache
Ski Apache is a popular ski and snowboard resort in southern New Mexico known for its high-elevation slopes, scenic Sierra Blanca views, and winter recreation opportunities.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aece1f848190a11676e072afb002 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbba656c81909c3876a8f2f7300e |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:55 p.m.