Triple
T15542974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Albert, Cape Colony |
E370526
|
entity |
| Predicate | usedColonialLanguage |
P82461
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Prince Albert, Cape Colony, usedColonialLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedColonialLanguage Context triple: [Prince Albert, Cape Colony, usedColonialLanguage, English]
-
A.
officialLanguageDuringColonialPeriod
Indicates that a language served as the official language of administration or governance in a territory during its colonial period.
-
B.
languageOfColonialSettlers
chosen
Indicates the language historically spoken by colonial settlers in a given place or context.
-
C.
preColonialUse
Indicates that something was used or occupied in a particular way during the period before colonial rule or colonization.
-
D.
hasColonialHistory
Indicates that an entity has experienced or participated in a period of colonial rule, control, or administration in relation to another entity.
-
E.
hasColonialName
Indicates that an entity is known by, or has been assigned, a name originating from a colonial power or colonial period.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04432c3808190bb5b653bf8de30c6 |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:07 a.m.