Triple
T34016768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Hachirogata |
E872267
|
entity |
| Predicate | majorInflow |
P169645
|
FINISHED |
| Object | Yokote River |
—
|
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: Yokote River | Statement: [Lake Hachirogata, majorInflow, Yokote River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorInflow Context triple: [Lake Hachirogata, majorInflow, Yokote River]
-
A.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
-
B.
secondaryInflow
Indicates an additional, non-primary flow of something (such as water, resources, or information) entering a main system or channel.
-
C.
majorSee
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
-
D.
mainInflowFrom
chosen
Indicates that the primary source or largest contributing inflow to something (e.g., a body, system, or process) comes from a specified origin.
-
E.
mainInfluentOf
Indicates that one entity is the primary source or dominant influencing factor affecting another entity.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: May 1, 2026, 1:51 a.m.