Triple
T15914726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mons-en-Pévèle |
E385939
|
entity |
| Predicate | racePhase |
P49215
|
FINISHED |
| Object | decisive middle-to-late phase of Paris–Roubaix |
—
|
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: decisive middle-to-late phase of Paris–Roubaix | Statement: [Mons-en-Pévèle, racePhase, decisive middle-to-late phase of Paris–Roubaix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racePhase Context triple: [Mons-en-Pévèle, racePhase, decisive middle-to-late phase of Paris–Roubaix]
-
A.
raceStatus
chosen
Indicates the current state or progress of an entity’s participation in a race or competitive event.
-
B.
campaignPhase
Indicates the specific stage or period within the lifecycle of a campaign in which an entity or activity currently occurs.
-
C.
raceAdded
Indicates that a race event or race-related record has been newly created or incorporated into a system or dataset.
-
D.
targetsPhase
Indicates that an action, process, or entity is specifically directed toward or intended to affect a particular phase or stage within a larger sequence or lifecycle.
-
E.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
- 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.