Triple
T9300415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aconcagua summit area |
E223743
|
entity |
| Predicate | approachedVia |
P6174
|
FINISHED |
| Object | Normal Route (northwest ridge) |
—
|
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: Normal Route (northwest ridge) | Statement: [Aconcagua summit area, approachedVia, Normal Route (northwest ridge)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachedVia Context triple: [Aconcagua summit area, approachedVia, Normal Route (northwest ridge)]
-
A.
approachDirection
Indicates the direction or bearing from which one entity moves closer to or advances toward another entity.
-
B.
hasApproachRoad
Indicates that one entity is connected to or accessed by another entity via an approach road leading to it.
-
C.
approachRoute
chosen
Indicates the path or method taken by one entity as it moves toward or comes closer to another entity or target.
-
D.
returnedVia
Indicates that something was sent back or responded to through a specified medium, channel, or method.
-
E.
accessedThrough
Indicates that one entity is reached, used, or obtained by means of another entity that serves as an intermediary channel, tool, or pathway.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d070c881908bed41aada6f85ae |
completed | April 1, 2026, noon |
| PD | Predicate disambiguation | batch_69cc7a5ef1908190bc5ca166bb895af6 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:36 p.m.