Triple
T17712604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archbishop of Lyon |
E441607
|
entity |
| Predicate | holdsPallium |
P128685
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Archbishop of Lyon, holdsPallium, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsPallium Context triple: [Archbishop of Lyon, holdsPallium, yes]
-
A.
hasNervousSystem
Indicates that an entity possesses a nervous system as a biological feature.
-
B.
hasBrainToBodyRatio
Indicates the proportional relationship between the size or mass of an entity’s brain and the size or mass of its body.
-
C.
hasMantleCavity
Indicates that an organism possesses a mantle cavity, a body space formed by the mantle that typically houses gills, excretory openings, and other organs.
-
D.
isNucleusOf
Indicates that one entity functions as the central or most important core component of another entity.
-
E.
hasAssociatedBrainRegions
Indicates that certain brain regions are functionally, structurally, or conceptually linked to a given entity or process.
- F. None of above. chosen
Provenance (4 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729c2c98819086fe48420217308d |
completed | April 19, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d018227c8190b6624a2199e765e8 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 10, 2026, 10:06 a.m.