Triple
T23295971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Digne |
E590170
|
entity |
| Predicate | givesObjectType |
P74380
|
FINISHED |
| Object | silver candlesticks |
—
|
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: silver candlesticks | Statement: [Bishop of Digne, givesObjectType, silver candlesticks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesObjectType Context triple: [Bishop of Digne, givesObjectType, silver candlesticks]
-
A.
typicalObjectType
Indicates that something is a common or characteristic type of object typically associated with or involved in another entity or situation.
-
B.
includesTypeOfObject
Indicates that one entity contains or encompasses another entity that is a specific type or category of object.
-
C.
hasObjectTypes
chosen
Indicates that something is associated with one or more specific categories or types of objects.
-
D.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
E.
observesType
Indicates that one entity observes, monitors, or takes note of another entity of a specified type.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cec9e88190b83cfd53a6455e0f |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:03 p.m.