Triple
T13366386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Norikura |
E318948
|
entity |
| Predicate | hasAlpineFlora |
P109638
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Mount Norikura, hasAlpineFlora, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlpineFlora Context triple: [Mount Norikura, hasAlpineFlora, Yes]
-
A.
hasSnowAtHighElevations
Indicates that snow is present in areas located at higher elevations within a given region or context.
-
B.
grownAtHighElevation
Indicates that something is cultivated or produced in locations situated at relatively high altitudes above sea level.
-
C.
hasMountainousTerrain
Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
-
D.
isOnHighPlains
Indicates that something is located on or situated within a region of elevated, relatively flat high plains.
-
E.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd652d48190a782fd1f57f34b6a |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:32 p.m.