Triple
T11801589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Bexley and Sidcup |
E280637
|
entity |
| Predicate | usualWinningMargin |
P66013
|
FINISHED |
| Object | comfortable Conservative majority |
—
|
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: comfortable Conservative majority | Statement: [Old Bexley and Sidcup, usualWinningMargin, comfortable Conservative majority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usualWinningMargin Context triple: [Old Bexley and Sidcup, usualWinningMargin, comfortable Conservative majority]
-
A.
averageMarginOfVictory
Indicates the typical point or score difference by which one competitor or team wins over opponents across a set of contests or games.
-
B.
finalRoundMargin
Indicates the point or score difference between competitors in the final round of a contest or competition.
-
C.
typicalWinningScoreRelativeToPar
Indicates the usual or expected winning score in relation to the course’s par (e.g., how many strokes under or over par typically wins).
-
D.
marginOf
chosen
Indicates the difference or buffer between two related quantities, values, or boundaries, often expressing how much one exceeds or falls short of another.
-
E.
pointSpreadFavorite
Indicates which competitor or team is favored in a point spread betting line and by how many points they are expected to win.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.