Triple
T22492401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Boot goalscoring award |
E556050
|
entity |
| Predicate | positionInScoringTable |
P54440
|
FINISHED |
| Object | second place |
—
|
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: second place | Statement: [Silver Boot goalscoring award, positionInScoringTable, second place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInScoringTable Context triple: [Silver Boot goalscoring award, positionInScoringTable, second place]
-
A.
positionInAllTimeScoring
Indicates the ranking or placement of an entity within an all-time scoring leaderboard or cumulative scoring list.
-
B.
positionInLeagueSystem
Indicates the rank or tier an entity holds within an organized league or competitive system.
-
C.
roleInRanking
Indicates that an entity holds a specific position or function within a particular ranking or ordered list.
-
D.
rankingPositions
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
-
E.
positionOnCompetition
chosen
Indicates the ranking or place an entity holds within the results of a specific competition.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb01b3481908a9143503b75167f |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.