Triple
T36116320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publica script badge |
E1044622
|
entity |
| Predicate | collectibleInterest |
P195426
|
FINISHED |
| Object | classic Toyota enthusiasts |
—
|
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: classic Toyota enthusiasts | Statement: [Publica script badge, collectibleInterest, classic Toyota enthusiasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectibleInterest Context triple: [Publica script badge, collectibleInterest, classic Toyota enthusiasts]
-
A.
collectibleIn
Indicates that one entity can be collected or obtained within the context, location, or container defined by another entity.
-
B.
collectibleFor
Indicates that one entity is intended or suitable to be collected by, or kept as part of a collection for, another entity.
-
C.
collectibleAspect
Indicates that one entity represents a collectible-related characteristic, feature, or dimension associated with another entity.
-
D.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
E.
collectorInterest
Indicates that one entity has a special interest in acquiring, owning, or seeking out another entity as part of a collection.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
| PDg | Predicate description generation | batch_69fdd07724f88190a33ec602642d2ea3 |
completed | May 8, 2026, noon |
Created at: May 3, 2026, 4:08 p.m.