Triple
T21804109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1956 women’s march to the Union Buildings |
E538305
|
entity |
| Predicate | participantsDemographics |
P58038
|
FINISHED |
| Object | Black African women |
—
|
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: Black African women | Statement: [1956 women’s march to the Union Buildings, participantsDemographics, Black African women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participantsDemographics Context triple: [1956 women’s march to the Union Buildings, participantsDemographics, Black African women]
-
A.
demographicsIn
Indicates that demographic information is associated with or applies within a specified geographic or organizational area.
-
B.
involvesDemographic
chosen
Indicates that an action, event, or entity is related to, affects, or includes a specific demographic group or population segment.
-
C.
audienceComposition
Indicates the makeup or distribution of different groups or segments within an audience in relation to something.
-
D.
demographicsDescriptor
Indicates a descriptive attribute or classification that characterizes the demographic properties of an entity or group.
-
E.
demographicsLabel
Indicates the categorical demographic group or segment that an entity is associated with or classified under.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780126e88190a93dd8d0519eb8fc |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.