Triple
T26726483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Makalu expedition |
E673847
|
entity |
| Predicate | ascendedPeakType |
P6287
|
FINISHED |
| Object | subsidiary peak of Makalu |
—
|
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: subsidiary peak of Makalu | Statement: [French Makalu expedition, ascendedPeakType, subsidiary peak of Makalu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ascendedPeakType Context triple: [French Makalu expedition, ascendedPeakType, subsidiary peak of Makalu]
-
A.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
B.
climbedFeatureType
chosen
Indicates that an entity has climbed or ascended a particular type of physical feature (such as a mountain, wall, or similar structure).
-
C.
notablePeak
Indicates that one entity is a peak or summit that is especially prominent, famous, or significant in relation to another entity.
-
D.
highestPeakClimbed
Indicates the tallest mountain or peak that an entity has successfully climbed.
-
E.
isOneOfHighestSummitsIn
Indicates that a summit belongs to the group of the tallest or most elevated peaks within a specified geographic area or region.
- 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6180b31f881909f532141eaf7896d |
completed | May 2, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:42 a.m.