Triple
T3624687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mallaig |
E76807
|
entity |
| Predicate | distanceFromFortWilliam |
P49608
|
FINISHED |
| Object | approximately 42 miles by road |
—
|
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 42 miles by road | Statement: [Mallaig, distanceFromFortWilliam, approximately 42 miles by road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromFortWilliam Context triple: [Mallaig, distanceFromFortWilliam, approximately 42 miles by road]
-
A.
distanceFromToronto
Indicates the spatial distance between a given entity and the location of Toronto.
-
B.
distanceToWinnipeg
Indicates the spatial distance between a given entity’s location and the city of Winnipeg.
-
C.
distanceToOttawa
Indicates the spatial distance between a given entity’s location and the city of Ottawa.
-
D.
distanceFromBathurst
Indicates the spatial distance between a given entity and the reference location Bathurst.
-
E.
distanceFromWaterloo
Indicates the spatial distance between a given location and Waterloo.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2d9845c8190ad65b2471000dfa0 |
completed | March 8, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69adb8410a5881909c94818d7060b2b0 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:23 p.m.