Triple
T14963510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenora Thistles |
E373126
|
entity |
| Predicate | smallestTownToWinStanleyCup |
P116869
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kenora Thistles, smallestTownToWinStanleyCup, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smallestTownToWinStanleyCup Context triple: [Kenora Thistles, smallestTownToWinStanleyCup, true]
-
A.
isNorthernmostCityOf
Indicates that a city is the one located furthest to the north within a specified region, area, or set of cities.
-
B.
isSmallestByAreaIn
Indicates that an entity has the smallest area among all comparable entities within a specified set, group, or context.
-
C.
isWesternmostMajorTownIn
Indicates that a town is the westernmost among all major towns within a specified region or area.
-
D.
isLargestTownOn
Indicates that one town is the largest (by size, population, or another defined measure) among all towns located on a specified geographic feature or area.
-
E.
isSmallestLocalGovernmentUnitIn
Indicates that one administrative unit is the smallest (most localized) level of government within the specified larger territorial or political area.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:40 a.m.