Triple
T3768371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Flèche Wallonne |
E82735
|
entity |
| Predicate | positionInSeason |
P51004
|
FINISHED |
| Object | spring classics |
—
|
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: spring classics | Statement: [La Flèche Wallonne, positionInSeason, spring classics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInSeason Context triple: [La Flèche Wallonne, positionInSeason, spring classics]
-
A.
positionInShow
Indicates the specific order or placement an entity occupies within a show, series, or sequence of performances or episodes.
-
B.
positionInLeagueSystem
Indicates the rank or tier an entity holds within an organized league or competitive system.
-
C.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
D.
occurredInSeason
Indicates that an event or occurrence took place during a specific season within a temporal sequence (such as a TV show season or sports season).
-
E.
roleInSeason
Indicates the specific role or function an entity has within a particular season of a series 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2d4b848190bf63fb3ed5d3b2d9 |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:35 p.m.