Triple
T34304788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo ’70 master plan |
E880276
|
entity |
| Predicate | visitorCapacityPlanned |
P179734
|
FINISHED |
| Object | tens of millions of visitors |
—
|
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: tens of millions of visitors | Statement: [Expo ’70 master plan, visitorCapacityPlanned, tens of millions of visitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitorCapacityPlanned Context triple: [Expo ’70 master plan, visitorCapacityPlanned, tens of millions of visitors]
-
A.
visitorLimit
Indicates a constraint specifying the maximum number of visitors allowed for a given entity or context.
-
B.
officialCapacity
Indicates that an action or relationship is undertaken or held by an entity in their formal, authorized, or institutional role rather than in a personal capacity.
-
C.
stageCapacity
Indicates the maximum number of people or amount of occupancy that a particular stage can accommodate.
-
D.
roomCapacity
Indicates the maximum number of people or occupants that a room is designed or allowed to hold.
-
E.
typicalSeatingCapacityUpperBound
Indicates the maximum number of seats that a venue or vehicle is typically designed or allowed to accommodate under normal conditions.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727bd39b081908457590c3ba9b745 |
completed | May 3, 2026, 10:47 a.m. |
Created at: May 1, 2026, 1:57 a.m.