Triple
T285409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin |
E5875
|
entity |
| Predicate | orthographicFeature |
P6520
|
FINISHED |
| Object | use of macrons in pedagogical texts to mark vowel length |
—
|
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: use of macrons in pedagogical texts to mark vowel length | Statement: [Latin, orthographicFeature, use of macrons in pedagogical texts to mark vowel length]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orthographicFeature Context triple: [Latin, orthographicFeature, use of macrons in pedagogical texts to mark vowel length]
-
A.
linguisticFeature
chosen
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
-
B.
hasOfficialOrthography
Indicates that an entity has a formally recognized and standardized system for writing its language or name.
-
C.
hasStandardOrthographySince
Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
-
D.
skeletonFeature
Indicates that one entity is a structural or anatomical skeletal feature or component of another entity.
-
E.
hasWritingDirection
Indicates the direction in which writing or text is read or written for a given script, language, or text system.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a2605b372c8190831570aa6532cc96 |
completed | Feb. 28, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69a25b7a8d148190aacdcc8ccb35c7f3 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.