Triple
T35514494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Nancy-Toul |
E1026377
|
entity |
| Predicate | formerSee |
P116490
|
FINISHED |
| Object | Diocese of Nancy |
—
|
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: Diocese of Nancy | Statement: [Diocese of Nancy-Toul, formerSee, Diocese of Nancy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerSee Context triple: [Diocese of Nancy-Toul, formerSee, Diocese of Nancy]
-
A.
former
Indicates that an entity previously held a role, status, or relationship but no longer does so in the present.
-
B.
formerAccess
Indicates that an entity previously had access to another entity or resource but no longer does.
-
C.
formerPart
chosen
Indicates that an entity was once a component or member of another entity but is no longer part of it.
-
D.
formerRecord
Indicates that an entity previously held a particular record or status but no longer does so.
-
E.
formerField
Indicates that an entity previously had a particular field, role, or area of activity, but no longer does.
- 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_69f76dfd61208190b93ec6dc439cab41 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0061454944819088a0babfe60f69fc |
completed | May 10, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_6a0060b9ee108190b91e8d99a16f2b30 |
completed | May 10, 2026, 10:40 a.m. |
Created at: May 3, 2026, 4:04 p.m.