Triple
T8979226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauca River |
E214478
|
entity |
| Predicate | majorAxisFor |
P25400
|
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: [Cauca River, majorAxisFor, agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorAxisFor Context triple: [Cauca River, majorAxisFor, agriculture]
-
A.
isMajorAxisFor
chosen
Indicates that something serves as the primary or longest axis that defines the main directional or structural orientation of another object or system.
-
B.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
-
C.
mainDimension
Indicates the primary or most significant dimension by which something is measured, organized, or characterized within a given context.
-
D.
formsAxisOf
Indicates that one entity serves together with another as the central line or primary axis around which a structure, system, or configuration is organized.
-
E.
semiMajorAxis
Indicates the length of the longest radius of an elliptical orbit, measuring the average distance between the orbiting body and the central body.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a4b3e88190b778a9b5589cab6d |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:03 p.m.