Triple
T35163618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiorano GT Challenge |
E1015333
|
entity |
| Predicate | trainTheming |
P182902
|
FINISHED |
| Object | Ferrari F430 Spider |
E1244085
|
NE 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: Ferrari F430 Spider | Statement: [Fiorano GT Challenge, trainTheming, Ferrari F430 Spider]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainTheming Context triple: [Fiorano GT Challenge, trainTheming, Ferrari F430 Spider]
-
A.
transformationTheme
Indicates a thematic relationship in which one entity centers on or explores the process, experience, or idea of transformation in another.
-
B.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
shapeTheme
Indicates a relationship where one entity’s form, outline, or geometric characteristics serve as a central motif or organizing principle for another entity.
-
D.
isThemedTo
Indicates that one entity is designed, styled, or conceptually based around the subject, motif, or theme represented by another entity.
-
E.
torchDesignTheme
Indicates that a torch is associated with or characterized by a particular design theme.
- F. None of above. chosen
Provenance (5 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37d96cd2088190833412d7704800bc |
completed | June 21, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: May 3, 2026, 4:02 p.m.