Triple
T5576646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chengdu Motor Show |
E146334
|
entity |
| Predicate | exhibitorType |
P64541
|
FINISHED |
| Object | domestic automakers |
—
|
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: domestic automakers | Statement: [Chengdu Motor Show, exhibitorType, domestic automakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitorType Context triple: [Chengdu Motor Show, exhibitorType, domestic automakers]
-
A.
usedByExhibitorType
Indicates that something is utilized or applied by a specific type or category of exhibitor.
-
B.
exhibitorsFrom
Indicates a relationship where certain exhibitors originate from, are associated with, or come from a specified source, location, or organization.
-
C.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
-
D.
hasExhibitors
Indicates that an entity includes, hosts, or is associated with one or more exhibitors.
-
E.
hasExhibitionVenueType
Indicates the type or category of venue where an exhibition is held or presented.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020697fbc8190bd084d7896db3ab8 |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:37 p.m.