Triple
T32546713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Right Arm of the Free World |
E831865
|
entity |
| Predicate | countryOfOriginOfReferent |
P26
|
FINISHED |
| Object | Belgium |
—
|
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: Belgium | Statement: [Right Arm of the Free World, countryOfOriginOfReferent, Belgium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginOfReferent Context triple: [Right Arm of the Free World, countryOfOriginOfReferent, Belgium]
-
A.
countryOfReferent
Indicates that one entity is the country with which the referenced entity (the referent) is associated or to which it belongs.
-
B.
countryOfOrigin
chosen
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
C.
organizationCountryOfOrigin
Indicates the country where an organization was originally founded or established.
-
D.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
E.
titleOriginCountry
Indicates the country from which a title (such as a work, publication, or creative piece) originally comes or was first produced.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a005b2e0a9c819081c6f7ccbef49ff8 |
completed | May 10, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a005a8bcde88190ace2bc0215e26430 |
completed | May 10, 2026, 10:14 a.m. |
Created at: May 1, 2026, 1:02 a.m.