Triple
T11609006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mfengu |
E275333
|
entity |
| Predicate | legalStatus19thCentury |
P100585
|
FINISHED |
| Object | African subjects of the Cape Colony |
—
|
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: African subjects of the Cape Colony | Statement: [Mfengu, legalStatus19thCentury, African subjects of the Cape Colony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatus19thCentury Context triple: [Mfengu, legalStatus19thCentury, African subjects of the Cape Colony]
-
A.
legalStatusAfter1919
Indicates the legal status or condition of an entity as it existed after the year 1919.
-
B.
legalStatusAfter1792
Indicates the legal status or condition that an entity held after the year 1792.
-
C.
populationStatus19thCentury
Indicates the population condition or demographic status of an entity during the 19th century.
-
D.
legalStatusAfter1917
Indicates the legal status or condition of an entity as it existed after the year 1917.
-
E.
legalStatusAfter1801
Indicates the legal status or condition of an entity as it existed or was defined after the year 1801.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04231d08190b8a07cd977d11ffa |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.