Triple
T10798198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Te Kuiti |
E254765
|
entity |
| Predicate | distanceFromHamilton |
P95530
|
FINISHED |
| Object | approximately 80 kilometres southwest |
—
|
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 80 kilometres southwest | Statement: [Te Kuiti, distanceFromHamilton, approximately 80 kilometres southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromHamilton Context triple: [Te Kuiti, distanceFromHamilton, approximately 80 kilometres southwest]
-
A.
distanceFromToronto
Indicates the spatial distance between a given entity and the location of Toronto.
-
B.
distanceFromStPancras
Indicates the spatial distance between an entity and St Pancras.
-
C.
distanceToToronto
Indicates the spatial distance between a given entity’s location and the city of Toronto.
-
D.
distanceFromVictoria
Indicates the measured distance between a given entity or location and Victoria.
-
E.
distanceToOttawaByRoad
Indicates the length of the travel route between a place and Ottawa when moving along the road network rather than in a straight line.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73334feb08190aae967eaa37659f7 |
completed | April 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:17 p.m.