Triple
T1954843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown of Ireland Act 1542 |
E42241
|
entity |
| Predicate | predecessorTitleCreatedBy |
P806
|
FINISHED |
| Object | Papal grant of the Lordship of 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: Papal grant of the Lordship of Ireland | Statement: [Crown of Ireland Act 1542, predecessorTitleCreatedBy, Papal grant of the Lordship of Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorTitleCreatedBy Context triple: [Crown of Ireland Act 1542, predecessorTitleCreatedBy, Papal grant of the Lordship of Ireland]
-
A.
predecessorTitleHolder
Indicates that one entity previously held a particular title or position before another entity.
-
B.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
C.
createdBy
chosen
Indicates that something was brought into existence, produced, or authored through the actions or efforts of a specific agent or entity.
-
D.
predecessorCEO
Indicates that one person previously held the position of CEO before another specific person.
-
E.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
- 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.