Triple
T33698088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Charles Garnier |
E863371
|
entity |
| Predicate | ethnicGroupWorkedWith |
P190516
|
FINISHED |
| Object | Huron-Wendat |
—
|
NE NERFINISHED |
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: Huron-Wendat | Statement: [St. Charles Garnier, ethnicGroupWorkedWith, Huron-Wendat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicGroupWorkedWith Context triple: [St. Charles Garnier, ethnicGroupWorkedWith, Huron-Wendat]
-
A.
ethnicGroupInFocus
Indicates that a particular ethnic group is the primary subject or focal point within a given context, relation, or description.
-
B.
ethnicGroupHelped
Indicates that one ethnic group provided assistance or support to another entity or group.
-
C.
ethnicGroupResearched
Indicates that a particular ethnic group is the subject or focus of a research activity or study conducted by an entity.
-
D.
ethnicGroupOn
Indicates that a particular ethnic group is present on, associated with, or resides in a specified place or entity.
-
E.
ethnicOrCulturalGroup
Indicates that one entity belongs to, is associated with, or is characterized by a particular ethnic or cultural group represented by the other entity.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: May 1, 2026, 1:43 a.m.