Triple
T31779297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solbiate Olona |
E811152
|
entity |
| Predicate | belongsToOrganizationViaCountry |
P49997
|
FINISHED |
| Object | European Union |
—
|
NE NERFINISHED |
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: European Union | Statement: [Solbiate Olona, belongsToOrganizationViaCountry, European Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToOrganizationViaCountry Context triple: [Solbiate Olona, belongsToOrganizationViaCountry, European Union]
-
A.
belongsToOrganizationBorder
Indicates that an entity is associated with or falls within the jurisdictional boundary of a specific organization.
-
B.
memberOfThroughCountry
chosen
Indicates that an entity is a member of another entity (such as an organization or group) by virtue of, or via, its association with a specific country.
-
C.
hasRegionalOrganizationMembershipOfCountry
Indicates that a country is a member of a specified regional organization.
-
D.
includesOrganization
Indicates that one entity contains, encompasses, or has within it the specified organization as a component, member, or part.
-
E.
isMemberOfSameOrganization
Indicates that two entities belong to, or are affiliated with, the same organization.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: April 30, 2026, 11:36 p.m.