Triple
T24467169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riyad Mahrez |
E617000
|
entity |
| Predicate | roleAtLeicesterCity |
P13665
|
FINISHED |
| Object | key player in 2015–16 title win |
—
|
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: key player in 2015–16 title win | Statement: [Riyad Mahrez, roleAtLeicesterCity, key player in 2015–16 title win]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtLeicesterCity Context triple: [Riyad Mahrez, roleAtLeicesterCity, key player in 2015–16 title win]
-
A.
roleInManchesterCity
Indicates that an entity holds or has held a specific role or position within Manchester City Football Club.
-
B.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
C.
ChelseaManager
Indicates that a person holds or has held the position of manager (head coach) of Chelsea Football Club.
-
D.
roleAtMatches
Indicates that an entity’s role or position at a given time or context matches a specified role criterion.
-
E.
cityFootballContext
Indicates a contextual relationship where an event, action, or entity is specifically situated within the domain of football as it relates to a particular city (e.g., its clubs, matches, or local football culture).
- 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f299403a8c819095e31aa2dace6921 |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:20 a.m.