Triple
T36045326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2020 World Rally Championship |
E1042655
|
entity |
| Predicate | lastEvent |
P17308
|
FINISHED |
| Object | 2020 Rally 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: 2020 Rally Monza | Statement: [2020 World Rally Championship, lastEvent, 2020 Rally Monza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastEvent Context triple: [2020 World Rally Championship, lastEvent, 2020 Rally Monza]
-
A.
lastRecordedEvent
chosen
Indicates the most recent event that has been recorded for a given entity or context.
-
B.
lastMajorEvent
Indicates the most recent significant event associated with an entity in a given context.
-
C.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
D.
lastSession
Indicates that one session is the final or most recent session associated with a given entity or sequence of sessions.
-
E.
youngestEvent
Indicates that the referenced event is the most recent or last-occurring event among a set of events.
- F. None of above.
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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.