Triple
T15922425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Marathon |
E386123
|
entity |
| Predicate | hasPaceGroups |
P120552
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Paris Marathon, hasPaceGroups, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPaceGroups Context triple: [Paris Marathon, hasPaceGroups, yes]
-
A.
hasLapStructure
Indicates that an entity possesses a lap-like structural configuration or component as part of its overall form or design.
-
B.
hasCadence
Indicates that something possesses or exhibits a particular rhythmic pattern, tempo, or flow.
-
C.
hasApproxElevationGainFt
Indicates that one entity is associated with an approximate amount of elevation gain, measured in feet, relative to another context or reference.
-
D.
raceDayIncludes
Indicates that a particular race day schedule or event set contains or encompasses a specific race or racing-related activity.
-
E.
hasCyclingDistance
Indicates that there is a specified distance associated with traveling between entities by cycling.
- 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_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. |
| PDg | Predicate description generation | batch_69e172b213e481909ee0c05e16229a26 |
completed | April 16, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.