Triple
T34395460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Ignace-de-Loyola |
E882816
|
entity |
| Predicate | inRiverArchipelago |
P7765
|
FINISHED |
| Object | Saint Lawrence River islands near Lake Saint-Pierre |
—
|
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: Saint Lawrence River islands near Lake Saint-Pierre | Statement: [Saint-Ignace-de-Loyola, inRiverArchipelago, Saint Lawrence River islands near Lake Saint-Pierre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inRiverArchipelago Context triple: [Saint-Ignace-de-Loyola, inRiverArchipelago, Saint Lawrence River islands near Lake Saint-Pierre]
-
A.
riverIslandArchipelagoNearby
Indicates that a river island is located close to or within the vicinity of an archipelago.
-
B.
archipelagoType
Indicates the specific kind or classification of an archipelago based on its characteristics or formation.
-
C.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
D.
isOnRiverIsland
Indicates that one entity (typically a place or structure) is located on an island situated within a river.
-
E.
locatedInArchipelago
chosen
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.