Triple
T1954863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown of Ireland Act 1542 |
E42241
|
entity |
| Predicate | governingLawForTitle |
P17238
|
FINISHED |
| Object | royal style and titles in Ireland |
—
|
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: royal style and titles in Ireland | Statement: [Crown of Ireland Act 1542, governingLawForTitle, royal style and titles in Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingLawForTitle Context triple: [Crown of Ireland Act 1542, governingLawForTitle, royal style and titles in Ireland]
-
A.
hasTitleInLaw
Indicates that an entity holds or is designated by a specific formal title as defined or recognized in law.
-
B.
legalCodeRecordedIn
Indicates that a legal code is documented, registered, or officially stored within a particular record, system, or repository.
-
C.
titleJurisdiction
chosen
Indicates the legal or official authority under which a title is recognized, governed, or issued.
-
D.
legalDetail
Indicates that there is specific legal information, conditions, or attributes associated with the related entity or relationship.
-
E.
legalCodeType
Indicates the specific category or classification of a legal code that applies to an entity or situation.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb353aa8c81909810347f9981a02f |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.