Triple
T19564916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haines Junction, Yukon |
E489553
|
entity |
| Predicate | distanceToWhitehorse |
P136594
|
FINISHED |
| Object | approximately 155 km west |
—
|
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: approximately 155 km west | Statement: [Haines Junction, Yukon, distanceToWhitehorse, approximately 155 km west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWhitehorse Context triple: [Haines Junction, Yukon, distanceToWhitehorse, approximately 155 km west]
-
A.
roadDistanceToWhitehorse
Indicates the distance between an entity and Whitehorse when traveling via roads rather than in a straight line.
-
B.
distanceFromFortSimpson
Indicates the measured distance between a given entity and the location known as Fort Simpson.
-
C.
distanceToIqaluit
Indicates the spatial distance between a given entity’s location and the location of Iqaluit.
-
D.
distanceFromFortWilliam
Indicates the measured distance between an entity and Fort William.
-
E.
distanceToWhistlerByRoad
Indicates the road travel distance between a given place and Whistler.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f76b220819096e668534c6bac67 |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51796b4c48190b721114dde654bd7 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 1:42 p.m.