Triple
T10037709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandated Islands |
E205213
|
entity |
| Predicate | previousColonialLanguage |
P54956
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Mandated Islands, previousColonialLanguage, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousColonialLanguage Context triple: [Mandated Islands, previousColonialLanguage, German]
-
A.
languageOfColonialSettlers
Indicates the language historically spoken by colonial settlers in a given place or context.
-
B.
officialLanguageDuringColonialPeriod
chosen
Indicates that a language served as the official language of administration or governance in a territory during its colonial period.
-
C.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
-
D.
preColonialUse
Indicates that something was used or occupied in a particular way during the period before colonial rule or colonization.
-
E.
hasColonialHistory
Indicates that an entity has experienced or participated in a period of colonial rule, control, or administration in relation to another entity.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcede428c8190ae115dc3425f9b0e |
completed | April 2, 2026, 2:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:55 p.m.