Triple
T16951345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Mam |
E411185
|
entity |
| Predicate | hasOrthographyDevelopedBy |
P55404
|
FINISHED |
| Object | linguists and local educators |
—
|
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: linguists and local educators | Statement: [Central Mam, hasOrthographyDevelopedBy, linguists and local educators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrthographyDevelopedBy Context triple: [Central Mam, hasOrthographyDevelopedBy, linguists and local educators]
-
A.
hasOrthographyDeveloped
Indicates that an entity’s writing system or spelling conventions have been created, established, or brought to a more advanced or standardized form.
-
B.
hasOrthographyDeveloper
chosen
Indicates that an entity is responsible for creating, designing, or standardizing the writing system or orthography used by another entity.
-
C.
hasOfficialOrthography
Indicates that an entity has a formally recognized and standardized system for writing its language or name.
-
D.
writingSystemDevelopedFrom
Indicates that one writing system originated, evolved, or was derived from another earlier writing system.
-
E.
hasDistinctOrthographyFrom
Indicates that two written forms are orthographically different from each other, even if they may represent the same or related linguistic content.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb6e5fc8190b1bd3ad1c2773685 |
completed | April 18, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.