Triple
T5672206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pol Espargaró |
E125003
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Marc Márquez |
E392686
|
NE 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: Marc Márquez | Statement: [Pol Espargaró, hasCompetitor, Marc Márquez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Márquez Context triple: [Pol Espargaró, hasCompetitor, Marc Márquez]
-
A.
Marc Márquez
chosen
Marc Márquez is a Spanish Grand Prix motorcycle road racer widely regarded as one of the greatest MotoGP riders of all time, known for his multiple world championships and aggressive riding style.
-
B.
Jorge Lorenzo
Jorge Lorenzo is a Spanish Grand Prix motorcycle road racer and multiple-time MotoGP World Champion known for his smooth, precise riding style.
-
C.
Pol Espargaró
Pol Espargaró is a Spanish Grand Prix motorcycle road racer known for competing in the MotoGP World Championship with multiple factory and satellite teams.
-
D.
Valentino Rossi
Valentino Rossi is an Italian motorcycle road racer widely regarded as one of the greatest MotoGP riders of all time, known for his multiple world championships and charismatic personality.
-
E.
Alex Marquez
Alex Marquez is a film editor known for his work on projects such as the 2016 biographical thriller "Snowden."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0236e8dc48190b4eb7709a258909f |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04db5c9a08190b1d6b7db87d0d9ac |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.