Triple
T22201125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Saint-Germain Féminine |
E548684
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Formiga |
—
|
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: Formiga | Statement: [Paris Saint-Germain Féminine, notablePlayer, Formiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Formiga Context triple: [Paris Saint-Germain Féminine, notablePlayer, Formiga]
-
A.
Formiga
chosen
Formiga is a legendary Brazilian midfielder renowned for her record-breaking longevity and multiple FIFA Women's World Cup and Olympic appearances with Brazil's women's national football team.
-
B.
Formigais
Formigais is a civil parish located within the municipality of Ourém in central Portugal.
-
C.
Pulga
Pulga is a small, scenic village in Himachal Pradesh, India, known for its tranquil Himalayan setting and popularity among trekkers and backpackers.
-
D.
Grilo
Grilo is a character in Eça de Queirós’s novel "A Cidade e as Serras," serving as a practical and loyal servant who helps bridge the contrast between urban sophistication and rural simplicity.
-
E.
المقشقشة
المقشقشة هو أحد الأسماء الواردة في التراث الإسلامي لسورة التوبة في القرآن الكريم، لما فيها من تبرئة وتمييز بين المؤمنين والمنافقين.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aeb16348190a34f96b47e01c8cf |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:36 p.m.