Triple
T34411620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ó Floinn |
E883283
|
entity |
| Predicate | hasAnglicizationProcess |
P192592
|
FINISHED |
| Object | loss of patronymic prefix |
—
|
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 patronymic prefix | Statement: [Ó Floinn, hasAnglicizationProcess, loss of patronymic prefix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnglicizationProcess Context triple: [Ó Floinn, hasAnglicizationProcess, loss of patronymic prefix]
-
A.
historicallyAnglicisedDuring
Indicates that an entity’s name or form was historically rendered into an Anglicised version during a specified time period.
-
B.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
C.
hasFormerRomanization
Indicates that an entity was previously written or represented using an earlier or superseded system of Romanized spelling.
-
D.
hasLaterNameInEnglish
Indicates that an entity is known by a different English name at a later time or in a subsequent context.
-
E.
hasLinguisticLegacy
Indicates that one entity has left a lasting influence or enduring impact on the language, linguistic practices, or linguistic development associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
| PDg | Predicate description generation | batch_69fd19f6a7888190aa7eee2b87687c53 |
completed | May 7, 2026, 11:02 p.m. |
Created at: May 1, 2026, 1:59 a.m.