Triple
T13838409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio Agüero |
E332588
|
entity |
| Predicate | goalsForManchesterCity |
P111705
|
FINISHED |
| Object | 260 |
—
|
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: 260 | Statement: [Sergio Agüero, goalsForManchesterCity, 260]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsForManchesterCity Context triple: [Sergio Agüero, goalsForManchesterCity, 260]
-
A.
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).
-
B.
communityShieldsWonWithManchesterUnited
Indicates the number of Community Shield titles an entity has won while playing for or managing Manchester United.
-
C.
goalsByRealMadrid
Indicates the number of goals that were scored by Real Madrid.
-
D.
PremierLeagueTitlesWithManchesterCityAsManager
Indicates the number of Premier League titles a manager has won while managing Manchester City.
-
E.
FA CupGoalsConceded
Indicates the number of goals a team or goalkeeper allowed (conceded) while playing in FA Cup matches.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ac6b7c81908d44632d6d628339 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:13 p.m.