Triple
T16838305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messinesi |
E409339
|
entity |
| Predicate | sportPopularity |
P251
|
FINISHED |
| Object | 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: football | Statement: [Messinesi, sportPopularity, football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportPopularity Context triple: [Messinesi, sportPopularity, football]
-
A.
popularSport
chosen
Indicates that a sport is widely liked, followed, or played by many people within a certain group or region.
-
B.
sportsInfluence
Indicates a relationship where one entity affects, shapes, or contributes to another entity’s involvement, performance, or outcomes in sports.
-
C.
sportOwned
Indicates that one entity possesses ownership or control over a particular sport.
-
D.
sportsCount
Indicates the number of sports associated with or involved in a given entity or context.
-
E.
sportsName
Indicates the specific sport associated with or played in a given context or event.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34ed7d48190a5f8d9f03a332a22 |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.