Triple
T34294651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Service Medal, Bronze |
E879988
|
entity |
| Predicate | hasAfrikaansName |
P105066
|
FINISHED |
| Object | Medalje vir Troue Diens, Brons |
—
|
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: Medalje vir Troue Diens, Brons | Statement: [Good Service Medal, Bronze, hasAfrikaansName, Medalje vir Troue Diens, Brons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAfrikaansName Context triple: [Good Service Medal, Bronze, hasAfrikaansName, Medalje vir Troue Diens, Brons]
-
A.
nameInAfrikaans
chosen
Indicates that one entity is the name or designation of another entity when expressed in the Afrikaans language.
-
B.
hasNameInZulu
Indicates that an entity is associated with a specific name expressed in the Zulu language.
-
C.
hasNameInDutch
Indicates that an entity is associated with a specific name or label expressed in the Dutch language.
-
D.
hasTitleInAfrikaans
Indicates that an entity has a specific title expressed in the Afrikaans language.
-
E.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
- 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.