Triple
T30981487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confluencia Camp |
E789386
|
entity |
| Predicate | onStandardApproachTo |
P158225
|
FINISHED |
| Object | Aconcagua normal route |
—
|
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: Aconcagua normal route | Statement: [Confluencia Camp, onStandardApproachTo, Aconcagua normal route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onStandardApproachTo Context triple: [Confluencia Camp, onStandardApproachTo, Aconcagua normal route]
-
A.
standardApproach
Indicates that an entity uses or follows a commonly accepted, conventional, or typical method for addressing a task or problem.
-
B.
guardedApproachTo
Indicates a cautious, defensive, or wary manner of moving toward or engaging with another entity.
-
C.
usedToApproach
Indicates that one entity employed another entity as a means or method to move closer to or reach a target entity or location.
-
D.
onStandardRouteOf
chosen
Indicates that something lies along or follows the usual, predefined, or officially designated route of another entity.
-
E.
standardizationApproach
Indicates the method or strategy used to establish, implement, or align with a common standard across entities or processes.
- 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:55 p.m.