Triple
T15922462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mur de Huy |
E386124
|
entity |
| Predicate | roleInWomenRace |
P53070
|
FINISHED |
| Object | final climb of La Flèche Wallonne Féminine |
—
|
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: final climb of La Flèche Wallonne Féminine | Statement: [Mur de Huy, roleInWomenRace, final climb of La Flèche Wallonne Féminine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWomenRace Context triple: [Mur de Huy, roleInWomenRace, final climb of La Flèche Wallonne Féminine]
-
A.
womenRaceInstanceOf
Indicates that a specific occurrence of a race event is one in which only women participate.
-
B.
womenRaceFirstEdition
Indicates that the subject participated in the women’s race of the first edition of a given event or competition.
-
C.
womenRaceFirstHeld
Indicates the date or event when a women’s race in a given context was first held.
-
D.
hasRoleInRace
Indicates that an entity participates in a race with a specific role or function.
-
E.
raceRole
chosen
Indicates the specific role, position, or function an entity holds within a race or racing event.
- F. None of above.
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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.