Triple
T24198149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begguya |
E599890
|
entity |
| Predicate | relativeLocationToDenali |
P155149
|
FINISHED |
| Object | south of Denali |
—
|
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: south of Denali | Statement: [Begguya, relativeLocationToDenali, south of Denali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeLocationToDenali Context triple: [Begguya, relativeLocationToDenali, south of Denali]
-
A.
distanceToDenali
Indicates the measured or estimated spatial distance between a given entity and Denali.
-
B.
positionRelativeToYellowstone
Indicates the spatial relationship of an entity’s location with respect to Yellowstone (e.g., direction, distance, or relative position).
-
C.
relativeLocationToMakalu
Indicates the spatial relationship of an entity’s location with respect to the position of Makalu.
-
D.
distanceToWitney
Indicates the spatial distance between an entity and the location Witney.
-
E.
positionRelativeToSummit
Indicates the spatial relationship of an entity’s location with respect to the summit of a feature or structure.
- F. None of above. chosen
Provenance (4 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:36 p.m.