Triple
T20684107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centennial Exposition |
E508368
|
entity |
| Predicate | numberOfExhibitorsApproximate |
P5288
|
FINISHED |
| Object | over 30000 exhibitors |
—
|
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 30000 exhibitors | Statement: [Centennial Exposition, numberOfExhibitorsApproximate, over 30000 exhibitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfExhibitorsApproximate Context triple: [Centennial Exposition, numberOfExhibitorsApproximate, over 30000 exhibitors]
-
A.
hasExhibitors
Indicates that an entity includes, hosts, or is associated with one or more exhibitors.
-
B.
numberOfExhibits
chosen
Indicates the total count of exhibits associated with a given entity or context.
-
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.
impactOnExhibitors
Indicates the effect or consequences that an event, decision, or condition has on exhibitors.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beaae5608190ac8cc64aa4717d53 |
completed | April 21, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:45 a.m.