Triple
T38084589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RKSP |
E950941
|
entity |
| Predicate | successorInEnglish |
P201346
|
FINISHED |
| Object | Catholic People’s Party |
—
|
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: Catholic People’s Party | Statement: [RKSP, successorInEnglish, Catholic People’s Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorInEnglish Context triple: [RKSP, successorInEnglish, Catholic People’s Party]
-
A.
successorEnglishName
Indicates that one entity’s English name is the direct successor or replacement of another entity’s English name.
-
B.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
C.
successorInUK
Indicates that one entity directly follows another in a succession specific to the United Kingdom, such as in an official role, title, or office.
-
D.
languageOfSuccessorName
chosen
Indicates the language in which the name of a successor entity is expressed.
-
E.
successorLabel
Indicates that one entity is the direct successor or next in sequence to another entity, often inheriting its role, position, or label.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00d08e8fac8190b59359134e6e1c03 |
completed | May 10, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_6a00d0127c088190a6f5b360450af113 |
completed | May 10, 2026, 6:36 p.m. |
Created at: May 3, 2026, 4:21 p.m.