Triple
T36165920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mag Uidhir |
E1045996
|
entity |
| Predicate | hasEnglishSpelling |
P126165
|
FINISHED |
| Object | Mag Uidir |
—
|
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: Mag Uidir | Statement: [Mag Uidhir, hasEnglishSpelling, Mag Uidir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnglishSpelling Context triple: [Mag Uidhir, hasEnglishSpelling, Mag Uidir]
-
A.
correspondsToEnglishSpelling
chosen
Indicates that one representation, form, or transcription matches or is equivalent to the standard English spelling of the same item.
-
B.
spellingStyle
Indicates the particular orthographic convention or system of spelling that is used or preferred in a given context.
-
C.
hasTypicalSpelling
Indicates that one form is the standard or commonly accepted spelling of another form.
-
D.
hasVariantSpelling
Indicates that one term is an alternative spelling form of another term.
-
E.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:08 p.m.