Triple
T33585988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archdiocese of Lyon |
E860280
|
entity |
| Predicate | honoraryPrimacyOver |
P168984
|
FINISHED |
| Object | Church in France |
—
|
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: Church in France | Statement: [Archdiocese of Lyon, honoraryPrimacyOver, Church in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoraryPrimacyOver Context triple: [Archdiocese of Lyon, honoraryPrimacyOver, Church in France]
-
A.
heldPrimacyOver
Indicates that one entity had superior authority, importance, or precedence over another.
-
B.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
-
C.
isMostlyHonorary
chosen
Indicates that a role, title, or position is primarily symbolic or ceremonial, with little substantive power or responsibility.
-
D.
grantedHonor
Indicates that one entity has formally bestowed an honor, award, or distinction upon another entity.
-
E.
confersHonorificStatus
Indicates that one entity formally grants an honorific title, rank, or status to another 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:40 a.m.