Triple
T22657022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DF Malan Airport |
E559253
|
entity |
| Predicate | namedAfterPoliticalRole |
P16867
|
FINISHED |
| Object | National Party leader |
—
|
LITERAL FINISHED |
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: National Party leader | Statement: [DF Malan Airport, namedAfterPoliticalRole, National Party leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterPoliticalRole Context triple: [DF Malan Airport, namedAfterPoliticalRole, National Party leader]
-
A.
namedForPoliticalRole
chosen
Indicates that one entity is named after another entity specifically because of that entity’s political office, position, or role.
-
B.
namedAfterCountryLeaderOf
Indicates that one entity is named after a person who is or was the leader of a specific country.
-
C.
namedAfterOccupationOrRole
Indicates that an entity is named after a specific occupation, profession, or social role associated with a person or group.
-
D.
politicalOrSocialRole
Indicates that an entity holds or is associated with a specific political or social position, function, or status within a group or society.
-
E.
namedPersonRole
Indicates that a person is identified by name as holding a specific role or position 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765c62bc8190b3fcde76d6b6dfb6 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:06 p.m.