Triple
T17270888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xega |
E419253
|
entity |
| Predicate | languageOfSpelling |
P38301
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Xega, languageOfSpelling, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfSpelling Context triple: [Xega, languageOfSpelling, Spanish]
-
A.
spellingStyle
Indicates the particular orthographic convention or system of spelling that is used or preferred in a given context.
-
B.
languageOfLetters
chosen
Indicates that one entity is the language in which the other entity’s letters or written correspondence are composed.
-
C.
correspondsToEnglishSpelling
Indicates that one representation, form, or transcription matches or is equivalent to the standard English spelling of the same item.
-
D.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
-
E.
spellingStatus
Indicates the correctness or condition of the spelling of a given text or term.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4917ec819096356ad2ed24d51d |
completed | April 19, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.