Triple
T3657706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liège–Bastogne–Liège |
E77572
|
entity |
| Predicate | uciWorldTourEventSince |
P50755
|
FINISHED |
| Object | 2005 |
—
|
LITERAL 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: 2005 | Statement: [Liège–Bastogne–Liège, uciWorldTourEventSince, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uciWorldTourEventSince Context triple: [Liège–Bastogne–Liège, uciWorldTourEventSince, 2005]
-
A.
worldTournament
Indicates a competitive event or series of contests held at a global level, typically involving participants from multiple countries.
-
B.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
C.
hasInternationalEvent
Indicates that an entity hosts, organizes, or is associated with an event involving participants or significance across multiple countries.
-
D.
equestrianEventsStartDate
Indicates the calendar date on which the equestrian events begin.
-
E.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d36c1c8190920397a75de4c47d |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adbae14d488190a6024548979c6faf |
completed | March 8, 2026, 6:07 p.m. |
Created at: March 8, 2026, 3:24 p.m.