Triple
T27470397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xixiabangma |
E693298
|
entity |
| Predicate | isOnlyEightThousanderEntirelyInOneCountry |
P78973
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Xixiabangma, isOnlyEightThousanderEntirelyInOneCountry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnlyEightThousanderEntirelyInOneCountry Context triple: [Xixiabangma, isOnlyEightThousanderEntirelyInOneCountry, true]
-
A.
isOnlyEightThousanderWhollyIn
chosen
Indicates that a mountain is the only eight-thousander located entirely within a specified country or region.
-
B.
includesHighestMountainOutsideAsia
Indicates that the referenced geographic region contains the tallest mountain located outside the continent of Asia.
-
C.
hasPeakAbove4000m
Indicates that an entity possesses at least one peak whose elevation exceeds 4000 meters.
-
D.
rankAmongWorldsHighestMountains
Indicates that the subject mountain is among the tallest mountains in the world in terms of elevation.
-
E.
isOneOfHighestPeaksIn
Indicates that an entity is among the tallest or most elevated peaks within a specified group, region, or category.
- 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e00d1148190bb61a0e1c090a3ff |
completed | May 2, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:53 p.m.