Triple
T29941838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Pavilion at Expo 86 |
E760517
|
entity |
| Predicate | worldsFairThemeContext |
P5290
|
FINISHED |
| Object | Transportation and Communication |
—
|
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: Transportation and Communication | Statement: [Canadian Pavilion at Expo 86, worldsFairThemeContext, Transportation and Communication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldsFairThemeContext Context triple: [Canadian Pavilion at Expo 86, worldsFairThemeContext, Transportation and Communication]
-
A.
exhibitTheme
chosen
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
-
B.
worldsFairEdition
Indicates that one entity is a special edition of another that was produced or designated specifically for a World's Fair event.
-
C.
worldsFairPavilion
Indicates that one entity serves as a pavilion or exhibition building associated with a World's Fair event in relation to another entity.
-
D.
worldsFairAssociation
Indicates an association or involvement between an entity and a World's Fair event (e.g., participation, sponsorship, or formal linkage).
-
E.
yearOfWorldsFair
Indicates the specific year in which a given World's Fair event took place.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 29, 2026, 6:22 p.m.