Triple
T36988480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendelssohn |
E915028
|
entity |
| Predicate | marginOfVictoryInUaeDerby |
P186865
|
FINISHED |
| Object | 18.5 lengths |
—
|
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: 18.5 lengths | Statement: [Mendelssohn, marginOfVictoryInUaeDerby, 18.5 lengths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marginOfVictoryInUaeDerby Context triple: [Mendelssohn, marginOfVictoryInUaeDerby, 18.5 lengths]
-
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.
marginOfVictoryPercentage
Indicates the percentage difference between the winner’s and the runner-up’s scores or votes in a contest or competition.
-
C.
firstCompetitiveDerbyScore
Indicates the score a competitor or team achieved in their first competitive derby event or match.
-
D.
marginOfVictoryCategory
Indicates the qualitative range or bracket into which the size of a victory’s point/score difference falls.
-
E.
finalRoundMargin
Indicates the point or score difference between competitors in the final round of a contest or competition.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb154b5f8c819089103b41f51a1639 |
completed | May 6, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.