Triple
T24704492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonga language |
E611848
|
entity |
| Predicate | hasOrthographyGuidelinesBy |
P157681
|
FINISHED |
| Object | Zambia Curriculum Development Centre |
—
|
NE NERFINISHED |
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: Zambia Curriculum Development Centre | Statement: [Tonga language, hasOrthographyGuidelinesBy, Zambia Curriculum Development Centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrthographyGuidelinesBy Context triple: [Tonga language, hasOrthographyGuidelinesBy, Zambia Curriculum Development Centre]
-
A.
hasOrthographyStatus
Indicates the orthographic status or condition of how something is written or spelled, such as its conformity to a particular writing system or standard.
-
B.
hasOrthographicConvention
Indicates that there is a specific writing or spelling convention that governs how something is represented in written form.
-
C.
hasOfficialOrthography
Indicates that an entity has a formally recognized and standardized system for writing its language or name.
-
D.
hasStandardOrthographySince
Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
-
E.
usesStandardOrthographyOf
Indicates that one entity writes or represents language according to the standard orthographic system defined for another entity.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 3:23 a.m.