Triple
T35377382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ó Loingsigh |
E1022548
|
entity |
| Predicate | hasAnglicizationPattern |
P192592
|
FINISHED |
| Object | loss of fada and simplification to Lynch |
—
|
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: loss of fada and simplification to Lynch | Statement: [Ó Loingsigh, hasAnglicizationPattern, loss of fada and simplification to Lynch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnglicizationPattern Context triple: [Ó Loingsigh, hasAnglicizationPattern, loss of fada and simplification to Lynch]
-
A.
hasAnglicizationProcess
chosen
Indicates a process by which a name, word, or expression is adapted into an Anglicized (English) form.
-
B.
hasTraditionalEnglishCharacter
Indicates that something possesses qualities, features, or style typically associated with traditional English culture or heritage.
-
C.
hasStandardizedNameInEnglish
Indicates that an entity is associated with a specific standardized or officially recognized name expressed in English.
-
D.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
E.
spellingVariantPattern
Indicates a relationship where one form of a word is a systematic spelling variant of another, following a recognizable pattern of orthographic change.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: May 3, 2026, 4:03 p.m.