Triple
T14200040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coadjutor Bishop of Ponta Grossa |
E351939
|
entity |
| Predicate | succeedsAutomatically |
P43223
|
FINISHED |
| Object | Diocesan Bishop of Ponta Grossa |
—
|
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: Diocesan Bishop of Ponta Grossa | Statement: [Coadjutor Bishop of Ponta Grossa, succeedsAutomatically, Diocesan Bishop of Ponta Grossa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeedsAutomatically Context triple: [Coadjutor Bishop of Ponta Grossa, succeedsAutomatically, Diocesan Bishop of Ponta Grossa]
-
A.
succeedsBy
Indicates that one entity comes after or replaces another in a sequence, order, or position.
-
B.
succeedsInAbsenceOf
Indicates that one entity successfully achieves or maintains something only when another specified entity or condition is not present.
-
C.
succeedsTo
chosen
Indicates that one entity takes over a role, position, or function previously held by another entity, following it in sequence or authority.
-
D.
succeedsFrom
Indicates that one entity comes after, replaces, or follows another in a sequence, order, or succession.
-
E.
succeedsSingle
Indicates that one entity directly and uniquely follows or replaces another in a sequence, order, or role.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f472548190a1a7edc40526eac3 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.