Triple
T11175851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marta |
E264408
|
entity |
| Predicate | FIFAWomen'sWorldCupAllTimeTopScorer |
P98263
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Marta, FIFAWomen'sWorldCupAllTimeTopScorer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIFAWomen'sWorldCupAllTimeTopScorer Context triple: [Marta, FIFAWomen'sWorldCupAllTimeTopScorer, true]
-
A.
FIFA100Women
Indicates that a person is recognized as one of the top 100 women footballers selected by FIFA.
-
B.
worldCupGoals
Indicates the number of goals an entity scored in World Cup matches.
-
C.
FIFAConfederationsCupTitleYear
Indicates the specific year in which an entity won a FIFA Confederations Cup title.
-
D.
FIFAFutsalWorldCupTitleYear
Indicates the specific year in which a given entity won the FIFA Futsal World Cup title.
-
E.
FIFAFutsalWorldCupTitles
Indicates the number of FIFA Futsal World Cup championship titles an entity has won.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.