Triple
T29447591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6 Hours of Spa-Francorchamps |
E746891
|
entity |
| Predicate | gridIncludes |
P167194
|
FINISHED |
| Object | Le Mans Prototype cars |
—
|
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: Le Mans Prototype cars | Statement: [6 Hours of Spa-Francorchamps, gridIncludes, Le Mans Prototype cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gridIncludes Context triple: [6 Hours of Spa-Francorchamps, gridIncludes, Le Mans Prototype cars]
-
A.
collectionIncludesRegion
Indicates that a collection contains or encompasses a specified region as one of its constituent parts.
-
B.
zonesInclude
Indicates that one zone spatially or logically contains or encompasses another zone.
-
C.
selectionIncludes
Indicates that a chosen set or subset explicitly contains or covers the specified element(s) as part of the selection.
-
D.
includesAreaOf
Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
-
E.
queueIncludes
Indicates that a particular element is present as a member within a given queue.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b21ea908190ae69b3f802fadab1 |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 3:29 p.m.