Triple
T32256962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French-Italian ORFEO system |
E824050
|
entity |
| Predicate | cooperatingAgencyCountry |
P51288
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [French-Italian ORFEO system, cooperatingAgencyCountry, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cooperatingAgencyCountry Context triple: [French-Italian ORFEO system, cooperatingAgencyCountry, France]
-
A.
countryOfAgency
Indicates that an agency operates under or is officially associated with a particular country.
-
B.
memberCountryAgency
Indicates that an agency belongs to, is governed by, or officially represents a particular member country within a larger organization or system.
-
C.
collaborationCountry
chosen
Indicates that there is a collaborative relationship or joint activity involving entities associated with the specified country.
-
D.
countryPartner
Indicates a formal partnership relationship between two countries, such as cooperation, alliance, or strategic collaboration.
-
E.
hostCountryAgency
Indicates that an agency belongs to, operates under the jurisdiction of, or officially represents the host country in a given context.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc549ce88190963037034412e0b1 |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:41 a.m.