Triple
T35012178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnus |
E1009961
|
entity |
| Predicate | raceVeneration |
P182004
|
FINISHED |
| Object | Altmer |
—
|
NE NERFINISHED |
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: Altmer | Statement: [Magnus, raceVeneration, Altmer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceVeneration Context triple: [Magnus, raceVeneration, Altmer]
-
A.
raceInSportsContext
Indicates participation in or association with a competitive sporting event where individuals or teams compete to finish first or achieve the best performance.
-
B.
stanceOnRace
Indicates a subject’s expressed position, attitude, or viewpoint regarding race or racial issues.
-
C.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
D.
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.
-
E.
raceComponent
Indicates that one entity is a constituent part, segment, or stage within a larger race or racing event involving another entity.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.