Triple
T2383951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yukon |
E46373
|
entity |
| Predicate | mountLoganCountryHighest |
P28959
|
FINISHED |
| Object | highest mountain in Canada |
—
|
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: highest mountain in Canada | Statement: [Yukon, mountLoganCountryHighest, highest mountain in Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountLoganCountryHighest Context triple: [Yukon, mountLoganCountryHighest, highest mountain in Canada]
-
A.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
B.
territorialPeak
chosen
Indicates the highest geographical point located within the territory or jurisdiction of a given entity.
-
C.
mountainName
Indicates that an entity is identified by a specific mountain’s name.
-
D.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
-
E.
isSecondHighestPeakIn
Indicates that one entity is the mountain or peak with the second greatest elevation within the geographic or contextual set defined by the other entity.
- 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.