Triple
T26023684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wapta Icefield |
E647222
|
entity |
| Predicate | hasMountainOnMargin |
P147064
|
FINISHED |
| Object |
Mount Gordon
Mount Gordon is a prominent peak in the Canadian Rockies known for its glaciated slopes and proximity to the Wapta Icefield, making it a popular objective for mountaineers and ski tourers.
|
E1702987
|
NE FINISHED |
How this triple was built (3 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: Mount Gordon | Statement: [Wapta Icefield, hasMountainOnMargin, Mount Gordon]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mount Gordon Triple: [Wapta Icefield, hasMountainOnMargin, Mount Gordon]
Generated description
Mount Gordon is a prominent peak in the Canadian Rockies known for its glaciated slopes and proximity to the Wapta Icefield, making it a popular objective for mountaineers and ski tourers.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMountainOnMargin Context triple: [Wapta Icefield, hasMountainOnMargin, Mount Gordon]
-
A.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
B.
hasSummitOnSideOf
Indicates that the summit or highest point of one geographic feature is located on the side of another feature.
-
C.
borderMountainOf
chosen
Indicates that a mountain lies along or forms part of the border of a specified region or entity.
-
D.
hasMountainAccess
Indicates that an entity has the right, ability, or means to enter, use, or traverse a mountain area.
-
E.
hasMountainRange
Indicates that one entity possesses, contains, or is geographically associated with a specific mountain range.
- F. None of above.
Provenance (6 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1107aae5988190b1ac8478f90a66b6 |
completed | May 23, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_6a110851836c8190847505b2b32bb915 |
completed | May 23, 2026, 1:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1108d6dbfc8190b95ecc9466e182b9 |
completed | May 23, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 22, 2026, 9:05 a.m.