Triple
T38339065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes F1 W04 |
E1038041
|
entity |
| Predicate | races |
P190438
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [Mercedes F1 W04, races, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: races Context triple: [Mercedes F1 W04, races, 19]
-
A.
racesAgainst
Indicates that one entity competes in a race directly against another entity.
-
B.
raceFeatured
Indicates that a particular race or racing event is prominently highlighted or given special attention within a context, such as a program, schedule, or media coverage.
-
C.
racesOn
Indicates that one entity participates in a race or competitive running event that takes place on or along another entity (such as a track, course, or surface).
-
D.
raceTheme
Indicates that a race, competition, or contest is a central theme or focus of the related entity or event.
-
E.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fcc7a42f68819081d6ec8bb6b53438 |
completed | May 7, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:30 p.m.