Triple
T29526178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street & Smith’s Football Yearbook |
E749074
|
entity |
| Predicate | coversLevelOfPlay |
P29174
|
FINISHED |
| Object | professional football |
—
|
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: professional football | Statement: [Street & Smith’s Football Yearbook, coversLevelOfPlay, professional football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversLevelOfPlay Context triple: [Street & Smith’s Football Yearbook, coversLevelOfPlay, professional football]
-
A.
coversLevel
chosen
Indicates that one entity includes or encompasses a particular level or layer of another entity or system.
-
B.
usedForLevelOfPlay
Indicates that something is intended or suitable for a particular level or standard of play.
-
C.
playedAtLevel
Indicates that an entity participated or performed in an activity, event, or game at a specified level of difficulty, competition, or hierarchy.
-
D.
sponsoredLevelOfPlay
Indicates the competitive level or tier at which an entity participates under a sponsorship arrangement.
-
E.
intendedPlayerLevel
Indicates the player level for which something (such as content, an item, or a challenge) is designed or meant to be used.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 28, 2026, 4:46 p.m.