Triple
T163037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Pierre Cathedral |
E2950
|
entity |
| Predicate | hasObject |
P5510
|
FINISHED |
| Object | wooden chair associated with John Calvin |
—
|
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: wooden chair associated with John Calvin | Statement: [St. Pierre Cathedral, hasObject, wooden chair associated with John Calvin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObject Context triple: [St. Pierre Cathedral, hasObject, wooden chair associated with John Calvin]
-
A.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
B.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
C.
hasIndex
Indicates that one entity serves as an index or positional reference for another entity within an ordered collection or structure.
-
D.
hasVector
Indicates that an entity is associated with, or can be represented by, a specific vector in some vector space.
-
E.
hasObserver
Indicates that an entity is being watched, monitored, or examined by another entity acting as an observer.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a2585a1a6481908899ad51211950e8 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2566392208190a538ea9aa1fac53e |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a257101060819094db0f3a3a72f312 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.