Triple
T13838410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio Agüero |
E332588
|
entity |
| Predicate | premierLeagueGoalsForManchesterCity |
P111706
|
FINISHED |
| Object | 184 |
—
|
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: 184 | Statement: [Sergio Agüero, premierLeagueGoalsForManchesterCity, 184]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premierLeagueGoalsForManchesterCity Context triple: [Sergio Agüero, premierLeagueGoalsForManchesterCity, 184]
-
A.
PremierLeagueTitlesWithManchesterCityAsManager
Indicates the number of Premier League titles a manager has won while managing Manchester City.
-
B.
leagueGoalsForLiverpool
Indicates the number of league goals a player has scored while playing for Liverpool.
-
C.
leagueDebutForManchesterCity
Indicates that an entity made their first league appearance while playing for Manchester City.
-
D.
wonPremierLeague
Indicates that the subject has achieved victory in the Premier League competition for at least one season.
-
E.
clubNumberOfGoalsForFCBarcelona
Indicates the number of goals an entity has scored while playing for FC Barcelona at club level.
- 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.