Triple
T75447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roma |
E1507
|
entity |
| Predicate | InternationalRomaDay |
P1499
|
FINISHED |
| Object | 8 April |
—
|
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: 8 April | Statement: [Roma, InternationalRomaDay, 8 April]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: InternationalRomaDay Context triple: [Roma, InternationalRomaDay, 8 April]
-
A.
UNRegion
Indicates that an entity belongs to, or is associated with, a specific United Nations–defined geographic region.
-
B.
isInternational
chosen
Indicates that something has a connection to, involves, or extends across more than one country.
-
C.
EuropeanAffiliation
Indicates that an entity is associated with Europe, such as by membership, origin, operation, or jurisdiction within European countries or institutions.
-
D.
commemoratesFromCountry
Indicates that one entity serves as a commemoration (such as a memorial, event, or honor) originating from or established by a specified country.
-
E.
servesAsFocusCityFor
Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a25314bd6c81908d1cfd4b83f20049 |
completed | Feb. 28, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69a24eae77ec81909015906f31f2b62e |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.