Triple
T36568621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Trench route |
E902051
|
entity |
| Predicate | typicalStartingPointRegion |
P204937
|
FINISHED |
| Object | Kluane National Park and Reserve |
E179993
|
NE 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: Kluane National Park and Reserve | Statement: [King Trench route, typicalStartingPointRegion, Kluane National Park and Reserve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStartingPointRegion Context triple: [King Trench route, typicalStartingPointRegion, Kluane National Park and Reserve]
-
A.
typicalRegionType
Indicates that a region is of a characteristic or commonly occurring type for a given context or entity.
-
B.
typicalTargetRegion
Indicates the region or area that an action, process, or effect is most commonly directed toward or occurs in.
-
C.
typicalServingRegion
Indicates the geographic area or region where something is most commonly or customarily served.
-
D.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
E.
typicalZones
Indicates that certain spatial or contextual areas are characteristic or commonly associated with a given entity or situation.
- F. None of above. chosen
Provenance (5 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a20b90f688190bc49703a1d453cd3 |
completed | June 23, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:11 p.m.