Triple
T2483153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gasherbrum II |
E55864
|
entity |
| Predicate | hasSummitCountApprox |
P40303
|
FINISHED |
| Object | hundreds of ascents |
—
|
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: hundreds of ascents | Statement: [Gasherbrum II, hasSummitCountApprox, hundreds of ascents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummitCountApprox Context triple: [Gasherbrum II, hasSummitCountApprox, hundreds of ascents]
-
A.
hasSummit
Indicates that one entity possesses, features, or includes a summit or highest point as part of its structure or characteristics.
-
B.
hasSummitCoordinates
Indicates that an entity has specific geographic coordinates identifying the location of its summit.
-
C.
hasSummitFeature
Indicates that a summit (or peak) possesses a particular characteristic, attribute, or notable feature.
-
D.
hasSummitConditions
Indicates that specific environmental or situational conditions required for a summit (e.g., peak ascent or high-level meeting) are present or satisfied.
-
E.
hasSummitName
Indicates that a summit or peak is identified by a specific name.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd209d934819093600889af9104c3 |
completed | March 7, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:45 p.m.