Triple
T26215054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terêna |
E655596
|
entity |
| Predicate | hasCommunityOrthography |
P85225
|
FINISHED |
| Object | standardized Latin-based orthography used in schools |
—
|
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: standardized Latin-based orthography used in schools | Statement: [Terêna, hasCommunityOrthography, standardized Latin-based orthography used in schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunityOrthography Context triple: [Terêna, hasCommunityOrthography, standardized Latin-based orthography used in schools]
-
A.
hasOfficialOrthography
Indicates that an entity has a formally recognized and standardized system for writing its language or name.
-
B.
hasOrthographyStatus
chosen
Indicates the orthographic status or condition of how something is written or spelled, such as its conformity to a particular writing system or standard.
-
C.
hasDistinctOrthographyFrom
Indicates that two written forms are orthographically different from each other, even if they may represent the same or related linguistic content.
-
D.
hasStandardOrthographySince
Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
-
E.
hasOrthographyProposal
Indicates that an entity is associated with a proposed system or set of rules for its written form or spelling.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: April 26, 2026, 8:54 p.m.