Triple
T2383950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yukon |
E46373
|
entity |
| Predicate | mountLoganElevation |
P14507
|
FINISHED |
| Object | 5959 metres |
—
|
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: 5959 metres | Statement: [Yukon, mountLoganElevation, 5959 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountLoganElevation Context triple: [Yukon, mountLoganElevation, 5959 metres]
-
A.
summitElevation
chosen
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
B.
nearestSummit
Indicates that one summit is the closest in distance to a given reference point or location compared to all other summits.
-
C.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
D.
mountainName
Indicates that an entity is identified by a specific mountain’s name.
-
E.
relativeToMountEverest
Indicates a relationship that compares or situates something in reference to Mount Everest, such as in terms of location, height, scale, or significance.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7bc87d0819090cd9d19d748bcc3 |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.