Triple
T23475570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veronica Sobukwe |
E570251
|
entity |
| Predicate | preservedLegacyOf |
P16342
|
FINISHED |
| Object | Robert Sobukwe |
—
|
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: Robert Sobukwe | Statement: [Veronica Sobukwe, preservedLegacyOf, Robert Sobukwe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preservedLegacyOf Context triple: [Veronica Sobukwe, preservedLegacyOf, Robert Sobukwe]
-
A.
retainsHeritageOf
chosen
Indicates that one entity preserves, maintains, or keeps alive the cultural, historical, or traditional legacy originating from another entity.
-
B.
preservedFor
Indicates that something has been kept intact or maintained in a particular state for the benefit, use, or reference of a specified entity or purpose.
-
C.
heritagePrecursor
Indicates that one entity serves as an ancestral or foundational predecessor in the heritage or lineage of another entity.
-
D.
preservedFrom
Indicates that something has been protected or kept safe from a particular source of damage, loss, or alteration.
-
E.
worksPreservedThrough
Indicates that a creator’s works have been maintained, safeguarded, or transmitted over time by a particular medium, institution, person, or process.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a704e2a48190acb55f77a2124412 |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:01 p.m.