Triple
T24528532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amherst, Nova Scotia |
E606734
|
entity |
| Predicate | distanceToHalifax |
P68198
|
FINISHED |
| Object | approximately 200 kilometres |
—
|
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 200 kilometres | Statement: [Amherst, Nova Scotia, distanceToHalifax, approximately 200 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHalifax Context triple: [Amherst, Nova Scotia, distanceToHalifax, approximately 200 kilometres]
-
A.
distanceFromHalifax
chosen
Indicates the spatial distance between a given entity or location and Halifax.
-
B.
distanceToDalhousie
Indicates the spatial distance between a given entity and Dalhousie.
-
C.
directionFromHalifax
Indicates the cardinal or relative compass direction of one place or object as measured outward from Halifax.
-
D.
distanceToPrinceEdwardIsland
Indicates the spatial distance between a given location and Prince Edward Island.
-
E.
distanceToMoncton
Indicates the physical distance between a given location or entity and the city of Moncton.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.