Triple
T24608563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dom Malonga |
E609049
|
entity |
| Predicate | countryOfLeagueTopScorerTitle |
P156728
|
FINISHED |
| Object | Canada |
—
|
NE NERFINISHED |
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: Canada | Statement: [Dom Malonga, countryOfLeagueTopScorerTitle, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfLeagueTopScorerTitle Context triple: [Dom Malonga, countryOfLeagueTopScorerTitle, Canada]
-
A.
leagueTopScorerTeam
Indicates the team for which a given league’s top-scoring player plays or played.
-
B.
homeCountryLeagueTitleRecord
Indicates the record or count of league titles an entity has won in its home country’s primary league competition.
-
C.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
D.
topGoalScorerAward
Indicates that an entity receives an award for scoring the highest number of goals in a given competition or season.
-
E.
internationalFootballCaps
Indicates the number of official international football (soccer) matches a player has appeared in for their national team.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:31 a.m.