Triple
T18106940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connecting Minds, Creating the Future |
E433368
|
entity |
| Predicate | timeFrameAssociated |
P11533
|
FINISHED |
| Object | Expo 2020 cycle |
—
|
NE NERFINISHED |
How this triple was built (3 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: Expo 2020 cycle | Statement: [Connecting Minds, Creating the Future, timeFrameAssociated, Expo 2020 cycle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Expo 2020 cycle Context triple: [Connecting Minds, Creating the Future, timeFrameAssociated, Expo 2020 cycle]
-
A.
Expo 2020
chosen
Expo 2020 was a World Expo held in Dubai that showcased global innovation, culture, and sustainability through international pavilions and events.
-
B.
Expo 2030
Expo 2030 is a planned future World Expo, an international exhibition that will showcase global innovations, culture, and cooperation in the early 2030s.
-
C.
Expo 2025
Expo 2025 is a World Expo scheduled to be held in Osaka, Japan, focusing on innovation and global collaboration around the theme of designing future societies.
-
D.
Expo 2017
Expo 2017 was an international specialized exposition held in Astana, Kazakhstan, focused on the theme of future energy and sustainable development.
-
E.
Expo
Expo is an open-source platform and toolchain for building, deploying, and iterating on React Native applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeFrameAssociated Context triple: [Connecting Minds, Creating the Future, timeFrameAssociated, Expo 2020 cycle]
-
A.
timeFrameTraditionallyLinked
Indicates that one time frame is customarily or historically associated with another, reflecting a traditional linkage between them.
-
B.
timeFrameSpecified
Indicates that a specific temporal period or duration has been explicitly defined or constrained for the related event, action, or relationship.
-
C.
timeframeApproximate
Indicates that the time period associated with an event or relation is not exact but only roughly or loosely specified.
-
D.
associatedWithTime
chosen
Indicates a relationship where something is linked or connected to a specific point or period in time.
-
E.
timeCorrelation
Indicates that two events or states are related in time such that changes or occurrences in one are systematically associated with changes or occurrences in the other.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddba6b288190af9a5d9c32d16e98 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.