Triple
T21423808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consumer Electronics Show |
E528501
|
entity |
| Predicate | exhibitorsNumber |
P143910
|
FINISHED |
| Object | over 4000 |
—
|
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: over 4000 | Statement: [Consumer Electronics Show, exhibitorsNumber, over 4000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitorsNumber Context triple: [Consumer Electronics Show, exhibitorsNumber, over 4000]
-
A.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
-
B.
hasExhibitors
Indicates that an entity includes, hosts, or is associated with one or more exhibitors.
-
C.
exhibitorsFrom
Indicates a relationship where certain exhibitors originate from, are associated with, or come from a specified source, location, or organization.
-
D.
exhibitorType
Indicates the specific role or category an exhibitor belongs to within an exhibition or event context.
-
E.
exhibitedCompany
Indicates that a company participated as an exhibitor or showcased its products/services at a particular event or venue.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee8139ce848190b812d6d07f1bdef8 |
completed | April 26, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:48 p.m.