Triple
T1653765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African National Congress |
E35751
|
entity |
| Predicate | foundedArmedWing |
P30928
|
FINISHED |
| Object | 1961 |
—
|
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: 1961 | Statement: [African National Congress, foundedArmedWing, 1961]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedArmedWing Context triple: [African National Congress, foundedArmedWing, 1961]
-
A.
hasArmedWing
Indicates that an entity maintains, controls, or is associated with an organized armed or military wing.
-
B.
paramilitaryWing
Indicates that one entity functions as the paramilitary or armed wing associated with another entity, typically an organization or movement.
-
C.
foundedOrganization
Indicates that an entity established or created an organization.
-
D.
foundingOrganization
Indicates the organization that established or created another entity, such as a company, institution, or project.
-
E.
architectOfWing
Indicates that one entity served as the architect responsible for designing a particular wing of a building or structure.
- F. None of above. chosen
Provenance (4 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99a4c3810819089d2dd0e23c8e46b |
completed | March 5, 2026, 2:59 p.m. |
Created at: March 4, 2026, 7:29 p.m.