Triple
T5826955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extremaduran language |
E129249
|
entity |
| Predicate | hasOrthographicVariation |
P10346
|
FINISHED |
| Object | multiple competing spelling norms |
—
|
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: multiple competing spelling norms | Statement: [Extremaduran language, hasOrthographicVariation, multiple competing spelling norms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrthographicVariation Context triple: [Extremaduran language, hasOrthographicVariation, multiple competing spelling norms]
-
A.
orthographicVariant
Indicates that two written forms are different spellings or orthographic representations of the same linguistic item.
-
B.
hasOrthographicReform
chosen
Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
-
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.
hasDistinctLetterForms
Indicates that the related writing system or symbol set uses different visual shapes or styles for the same letter in different contexts (such as position, case, or usage).
-
E.
usesStandardOrthographyOf
Indicates that one entity writes or represents language according to the standard orthographic system defined for another entity.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.