Triple
T22951391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botatwe languages |
E570026
|
entity |
| Predicate | haveWritingSystemsForSomeMembers |
P150359
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Botatwe languages, haveWritingSystemsForSomeMembers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveWritingSystemsForSomeMembers Context triple: [Botatwe languages, haveWritingSystemsForSomeMembers, true]
-
A.
hasOfficialWritingSystem
Indicates that an entity (typically a language) is associated with a formally recognized and standardized writing system used for official or standard purposes.
-
B.
hasWritingSystemForMajorLanguage
Indicates that there exists a writing system used to represent a major language associated with the given entity.
-
C.
writingSystemDevelopedFor
Indicates that a particular writing system was created or adapted specifically to be used for a given language, community, or purpose.
-
D.
writingSystemUsedIn
Indicates that a particular writing system is employed for written communication within a given language, region, or context.
-
E.
isWrittenWith
Indicates that something is created or expressed using a particular writing tool, medium, or system.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a285448190a718734fe933d51a |
completed | April 29, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:46 p.m.