Triple
T36430826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willingen (Upland) |
E897435
|
entity |
| Predicate | hasWorldCupEvent |
P198001
|
FINISHED |
| Object | FIS Ski Jumping World Cup at Mühlenkopfschanze |
—
|
NE NERFINISHED |
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: FIS Ski Jumping World Cup at Mühlenkopfschanze | Statement: [Willingen (Upland), hasWorldCupEvent, FIS Ski Jumping World Cup at Mühlenkopfschanze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldCupEvent Context triple: [Willingen (Upland), hasWorldCupEvent, FIS Ski Jumping World Cup at Mühlenkopfschanze]
-
A.
hasWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
B.
worldCupPlayed
Indicates that a World Cup tournament has taken place or been held (typically at a specific time and/or location).
-
C.
playsWorldCup
Indicates that an entity participates as a player in a FIFA World Cup tournament.
-
D.
WorldCup
Indicates a relationship where an entity is associated with the FIFA World Cup, such as participating in, hosting, or being otherwise directly involved in that tournament.
-
E.
hasWorldChampionshipMatches
Indicates that an entity is associated with one or more matches that are part of a world championship competition.
- F. None of above. chosen
Provenance (4 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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
| PDg | Predicate description generation | batch_69fec00e5c1c819083d174bb4bc35f29 |
completed | May 9, 2026, 5:03 a.m. |
Created at: May 3, 2026, 4:10 p.m.