Triple
T3893095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland national under-18 football team |
E88105
|
entity |
| Predicate | playsFriendlyMatches |
P52708
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Poland national under-18 football team, playsFriendlyMatches, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsFriendlyMatches Context triple: [Poland national under-18 football team, playsFriendlyMatches, yes]
-
A.
matchOf
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
-
B.
playedAssociationFootball
Indicates that an entity has participated in playing the sport of association football (soccer).
-
C.
featuredMatchType
Indicates the specific category or kind of match that is highlighted or given special prominence.
-
D.
playedWith
Indicates that one entity engaged in play or a playful activity together with another entity.
-
E.
playedHomeGamesUntil
Indicates the period up to which a team or player hosted their home games at a particular venue.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:21 p.m.