Triple
T26462166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AT01 |
E665665
|
entity |
| Predicate | raceWinCircuit |
P161562
|
FINISHED |
| Object | Autodromo Nazionale Monza |
—
|
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: Autodromo Nazionale Monza | Statement: [AT01, raceWinCircuit, Autodromo Nazionale Monza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceWinCircuit Context triple: [AT01, raceWinCircuit, Autodromo Nazionale Monza]
-
A.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
B.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
-
C.
raceTrack
Indicates that one entity serves as a race track or racing course used by another entity for racing activities.
-
D.
raceComponent
Indicates that one entity is a constituent part, segment, or stage within a larger race or racing event involving another entity.
-
E.
racingSeries
Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61ad613608190855de13501a86007 |
completed | May 2, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f61a16b7848190bf20d2be7e5a16c1 |
completed | May 2, 2026, 3:36 p.m. |
Created at: April 27, 2026, 12:13 a.m.