Triple
T26633055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivière du Sud (Montérégie) |
E668553
|
entity |
| Predicate | regionTypeTraversed |
P1828
|
FINISHED |
| Object | rural areas |
—
|
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: rural areas | Statement: [Rivière du Sud (Montérégie), regionTypeTraversed, rural areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionTypeTraversed Context triple: [Rivière du Sud (Montérégie), regionTypeTraversed, rural areas]
-
A.
regionTraversedBy
Indicates that a region is crossed or passed through by a specified path, route, or linear feature.
-
B.
regionType
chosen
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
-
C.
regionTypeOfPlace
Indicates that a place belongs to or is categorized under a specific type of geographic or administrative region.
-
D.
primaryTraversalType
Indicates the main or default method by which something is traversed, navigated, or moved through.
-
E.
regionsVisited
Indicates that an entity has traveled to, been present in, or otherwise visited specific geographic regions.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 27, 2026, 2:25 a.m.