Triple
T62262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico de Orizaba |
E1236
|
entity |
| Predicate | standardRoute |
P1179
|
FINISHED |
| Object | Jamapa Glacier 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: Jamapa Glacier route | Statement: [Pico de Orizaba, standardRoute, Jamapa Glacier route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardRoute Context triple: [Pico de Orizaba, standardRoute, Jamapa Glacier route]
-
A.
standardType
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
-
B.
followsRouteOf
Indicates that one entity travels along the same path or route that another entity takes or has taken.
-
C.
isMajorRouteFor
chosen
Indicates that something serves as a primary or heavily used pathway or channel for the movement or flow of something else.
-
D.
routeNumber
Indicates the specific identifying number assigned to a route within a transportation or delivery network.
-
E.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251f74b0881909ad89127b8171277 |
completed | Feb. 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69a24ea242c8819086fe00bf01e6523e |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.