Triple
T33194799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr Beyers Naudé Local Municipality |
E849725
|
entity |
| Predicate | namedAfterCountryPerson |
P69106
|
FINISHED |
| Object | South African theologian Beyers Naudé |
—
|
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: South African theologian Beyers Naudé | Statement: [Dr Beyers Naudé Local Municipality, namedAfterCountryPerson, South African theologian Beyers Naudé]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterCountryPerson Context triple: [Dr Beyers Naudé Local Municipality, namedAfterCountryPerson, South African theologian Beyers Naudé]
-
A.
namedAfterCountryLeaderOf
Indicates that one entity is named after a person who is or was the leader of a specific country.
-
B.
namedForNationality
Indicates that something is named after or in reference to a particular nationality or national identity.
-
C.
namedAfterCountryService
Indicates that something is named after a country in recognition of that country’s service or contribution.
-
D.
namedAfterCountryAssociation
Indicates that one entity is named after, or derives its name from, a specific country.
-
E.
namedForNotablePersonFrom
chosen
Indicates that one entity is named in honor of a notable person who originates from another specified place or group.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 1, 2026, 1:29 a.m.