Triple
T32655920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tate |
E834862
|
entity |
| Predicate | otherHolyMountains |
P179850
|
FINISHED |
| Object | Mount Fuji |
—
|
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 Fuji | Statement: [Mount Tate, otherHolyMountains, Mount Fuji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otherHolyMountains Context triple: [Mount Tate, otherHolyMountains, Mount Fuji]
-
A.
countryHighestPeak
Indicates that a given peak is the tallest mountain within the specified country.
-
B.
mountainHeight
Indicates the vertical elevation or height of a mountain, typically measured from sea level.
-
C.
prominenceOfHighestPeak_m
Indicates the vertical prominence, in meters, of the highest peak relative to the lowest contour line encircling it and no higher summit.
-
D.
notablePeak
Indicates that one entity is a peak or summit that is especially prominent, famous, or significant in relation to another entity.
-
E.
otherMajorPeak
Indicates that one peak is another significant or prominent peak associated with, but distinct from, a given primary peak.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: May 1, 2026, 1:08 a.m.