Triple
T34106864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tekari |
E874729
|
entity |
| Predicate | isSouthernmostOver3000mIn |
P163400
|
FINISHED |
| Object | Japan |
—
|
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: Japan | Statement: [Mount Tekari, isSouthernmostOver3000mIn, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSouthernmostOver3000mIn Context triple: [Mount Tekari, isSouthernmostOver3000mIn, Japan]
-
A.
southernmost
Indicates that one entity is located farther to the south than all other comparable entities in a given set or context.
-
B.
containsHighestPointOf
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
-
C.
isSouthernmostPartOf
Indicates that one entity is the geographically furthest south portion or section of another entity.
-
D.
summitElevationSouth
Indicates the elevation of the summit located on the southern side or in the southern part of a referenced geographic feature.
-
E.
isMostSoutherlyFellOf
chosen
Indicates that one fell is the southernmost among a specified group or within a defined area.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70caad4fc81908bbbc3cd4d6da7dd |
completed | May 3, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:53 a.m.