Triple
T6117948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Avignon |
E136407
|
entity |
| Predicate | currentOrdinaryTitle |
P10091
|
FINISHED |
| Object | Archbishop of Avignon |
—
|
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: Archbishop of Avignon | Statement: [Diocese of Avignon, currentOrdinaryTitle, Archbishop of Avignon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentOrdinaryTitle Context triple: [Diocese of Avignon, currentOrdinaryTitle, Archbishop of Avignon]
-
A.
hasOrdinaryTitle
Indicates that an entity holds a standard, non-noble or non-honorific title associated with its role or position.
-
B.
currentHeadTitle
chosen
Indicates the official title or position currently held by the head or leader of an entity.
-
C.
singleTitle
Indicates that an entity holds exactly one official title or designation within a given context.
-
D.
traditionalTitleGivenBy
Indicates that one entity has conferred or assigned a traditional or customary title to another entity.
-
E.
titleVariant
Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bec9b8c8190b3268b0ba952aae6 |
completed | March 22, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.