Triple
T36127744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōmiwa Jinja |
E1044928
|
entity |
| Predicate | environs |
P184723
|
FINISHED |
| Object | Mount Miwa foothills |
—
|
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: Mount Miwa foothills | Statement: [Ōmiwa Jinja, environs, Mount Miwa foothills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environs Context triple: [Ōmiwa Jinja, environs, Mount Miwa foothills]
-
A.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
B.
environmentAnalogOf
Indicates that one environment serves as an analogue or counterpart to another, typically mirroring its conditions, structure, or behavior for comparison or simulation purposes.
-
C.
environmentSubtype
Indicates that one environment is a more specific subtype or category within another, more general environment.
-
D.
environmentClass
Indicates that an entity belongs to, or is categorized within, a particular type or class of environment.
-
E.
tourEnvironment
Indicates that an entity conducts or participates in a tour within a particular environment or setting.
- F. None of above. chosen
Provenance (4 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b3e0f1c88190985feab6cee8b05e |
completed | May 3, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.