Triple
T20030046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mollerussa |
E495096
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object | CFJ Mollerussa |
—
|
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: CFJ Mollerussa | Statement: [Mollerussa, hasSportsClub, CFJ Mollerussa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CFJ Mollerussa Context triple: [Mollerussa, hasSportsClub, CFJ Mollerussa]
-
A.
Fusso
Fusso is one of Casper the Friendly Ghost’s lesser-known ghost uncles from the Casper franchise.
-
B.
Fischer FJB
Fischer FJB is a German publishing imprint of S. Fischer Verlag, primarily focused on books for children and young adults.
-
C.
Fancelli
Fancelli is an Italian surname associated with figures such as Renaissance sculptor Domenico Fancelli.
-
D.
Mollerussa
chosen
Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
-
E.
Marcarelli
Marcarelli is the family name of Conrad Marca-Relli, an Italian-American Abstract Expressionist painter and collage artist associated with the New York School.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66291a00c8190b0b895909f32d623 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.