Triple
T9911471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League Midfielder of the Season |
E185153
|
entity |
| Predicate | hasPositionalCategory |
P91118
|
FINISHED |
| Object | midfield |
—
|
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: midfield | Statement: [UEFA Champions League Midfielder of the Season, hasPositionalCategory, midfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionalCategory Context triple: [UEFA Champions League Midfielder of the Season, hasPositionalCategory, midfield]
-
A.
isNonPositionalSince
Indicates that something has not depended on or been defined by positional context since a specified point in time.
-
B.
hasCategoryLevel
Indicates that something is associated with a specific hierarchical category or tier within a classification system.
-
C.
hasPronounCategory
Indicates that an entity is associated with a specific category or type of pronoun (such as personal, possessive, reflexive, etc.).
-
D.
hasSpecialCategory
Indicates that an entity is associated with a designated special or exceptional category distinct from its standard classifications.
-
E.
hasCategorySystem
Indicates that an entity is associated with or organized according to a particular categorization system.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb512a26881908eb72a21ffb1efef |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:41 p.m.