Triple
T19363970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dundee derby |
E484352
|
entity |
| Predicate | clubsStadiumsDistance |
P135655
|
FINISHED |
| Object | approximately 200 metres apart |
—
|
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 metres apart | Statement: [Dundee derby, clubsStadiumsDistance, approximately 200 metres apart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubsStadiumsDistance Context triple: [Dundee derby, clubsStadiumsDistance, approximately 200 metres apart]
-
A.
associatedStadiums
Indicates that there is a relationship linking an entity to one or more stadiums with which it is connected or affiliated.
-
B.
clubStadiumCity
Indicates the city where a club’s home stadium is located.
-
C.
footballStadiumLocation
Indicates the relationship specifying where a particular football stadium is geographically located.
-
D.
cityOfStadium
Indicates that a stadium is located in, or primarily associated with, a particular city.
-
E.
hasTeamStadium
Indicates that a sports team is associated with or plays its home games at a particular stadium.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619a9ac68819082cf9deadf526156 |
completed | April 20, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:34 p.m.