Triple
T13482067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan Tengri |
E318394
|
entity |
| Predicate | summitIceCapThickness |
P110560
|
FINISHED |
| Object | approximately 15 m |
—
|
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: approximately 15 m | Statement: [Khan Tengri, summitIceCapThickness, approximately 15 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summitIceCapThickness Context triple: [Khan Tengri, summitIceCapThickness, approximately 15 m]
-
A.
summitIceCover
Indicates the extent or presence of ice covering the summit of a geographic feature.
-
B.
summitCraterDiameter
Indicates the diameter of the crater located at the summit of a volcanic or mountainous feature.
-
C.
averageSummitTemperature
Indicates the typical or mean temperature measured at the summit of a location over a defined period.
-
D.
hasSummitFacility
Indicates that one entity possesses or provides a facility or infrastructure located at the summit of another entity (such as a mountain, hill, or peak).
-
E.
isSummitOf
Indicates that one entity is the highest point or peak (summit) of another entity, such as a mountain or structure.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:42 p.m.