Triple
T27077014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court of King’s Bench of New Brunswick |
E685488
|
entity |
| Predicate | hasSittingsIn |
P170642
|
FINISHED |
| Object | Fredericton |
—
|
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: Fredericton | Statement: [Court of King’s Bench of New Brunswick, hasSittingsIn, Fredericton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSittingsIn Context triple: [Court of King’s Bench of New Brunswick, hasSittingsIn, Fredericton]
-
A.
hasNationwideSittings
Indicates that an entity (such as a court or body) conducts sessions or operates in multiple locations across an entire nation rather than being limited to a specific region.
-
B.
hasParliamentarySession
Indicates that a governing body or legislature conducts or holds a formal parliamentary session.
-
C.
hasSeatAt
Indicates that an entity occupies or holds a place, position, or membership within a specific group, body, or location.
-
D.
hasPlenarySessions
Indicates that an event or organization includes formal plenary sessions as part of its activities or structure.
-
E.
numberOfSittings
Indicates the total count of distinct sittings or sessions associated with an entity or event.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f693ffa7908190aa4c451b16df9be6 |
completed | May 3, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 27, 2026, 8:31 a.m.