Triple
T32655550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Paris Motor Show |
E834850
|
entity |
| Predicate | hostedManufacturer |
P2777
|
FINISHED |
| Object | Renault |
—
|
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: Renault | Statement: [2014 Paris Motor Show, hostedManufacturer, Renault]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedManufacturer Context triple: [2014 Paris Motor Show, hostedManufacturer, Renault]
-
A.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
B.
hostedOn
Indicates that one entity operates, resides, or is made available on another entity that provides the underlying platform or infrastructure.
-
C.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
D.
hosted
chosen
Indicates that one entity organized and provided the venue or platform for an event, activity, or presence involving another entity.
-
E.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:08 a.m.