Triple
T18992880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 2020 Dubai organizers |
E464732
|
entity |
| Predicate | subthemeImplemented |
P20138
|
FINISHED |
| Object | Opportunity |
—
|
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: Opportunity | Statement: [Expo 2020 Dubai organizers, subthemeImplemented, Opportunity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subthemeImplemented Context triple: [Expo 2020 Dubai organizers, subthemeImplemented, Opportunity]
-
A.
subtheme
chosen
Indicates that one topic or concept functions as a more specific, subordinate theme within a broader overarching theme.
-
B.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
C.
subMode
Indicates a more specific or subordinate mode that falls under or refines a broader, parent mode within a hierarchy of modes.
-
D.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
E.
centralThemeContribution
Indicates that one entity contributes significantly to shaping, supporting, or expressing the central theme of another entity.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67eedc88190bfb7b327b47db76d |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.