Triple
T26633065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivière du Sud (Montérégie) |
E668553
|
entity |
| Predicate | primaryLandUseInValley |
P14072
|
FINISHED |
| Object | agriculture |
—
|
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: agriculture | Statement: [Rivière du Sud (Montérégie), primaryLandUseInValley, agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLandUseInValley Context triple: [Rivière du Sud (Montérégie), primaryLandUseInValley, agriculture]
-
A.
primaryLandUse
chosen
Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
-
B.
primaryValley
Indicates that a valley is the main or most significant valley associated with a given geographic feature or region.
-
C.
valleyUsedFor
Indicates that a valley serves a particular function, purpose, or activity for something or someone.
-
D.
majorLandUse
Indicates the primary way a given area of land is utilized or designated (e.g., residential, commercial, agricultural).
-
E.
valleyUsedBy
Indicates that a valley is utilized or traversed by a particular entity, such as for passage, habitation, or other activities.
- 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_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: April 27, 2026, 2:25 a.m.