Triple
T23912848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanwall |
E601990
|
entity |
| Predicate | predecessorActivity |
P57884
|
FINISHED |
| Object | Thinwall Special Ferrari-modified 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: Thinwall Special Ferrari-modified cars | Statement: [Vanwall, predecessorActivity, Thinwall Special Ferrari-modified cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorActivity Context triple: [Vanwall, predecessorActivity, Thinwall Special Ferrari-modified cars]
-
A.
precursorActivity
chosen
Indicates that one activity occurs earlier and contributes causally or preparatorily to the initiation of another activity.
-
B.
predecessorProcess
Indicates that one process occurs or is executed before another process in a defined sequence or workflow.
-
C.
predecessorProject
Indicates that one project temporally or logically comes before and leads into another project in a sequence or dependency chain.
-
D.
predecessorRelationship
Indicates that one entity comes before another in an ordered sequence, chain, or lineage, serving as its prior or earlier counterpart.
-
E.
predecessorRelations
Indicates that one entity comes before another in an ordered sequence or lineage, serving as its predecessor.
- F. None of above.
Provenance (3 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce96c47881908ccb17ef9f750676 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:39 p.m.