Triple
T35987594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 World Rally Championship |
E1040754
|
entity |
| Predicate | numberOfEventsHeld |
P2438
|
FINISHED |
| Object | 13 |
—
|
LITERAL 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: 13 | Statement: [2019 World Rally Championship, numberOfEventsHeld, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEventsHeld Context triple: [2019 World Rally Championship, numberOfEventsHeld, 13]
-
A.
numberOfEvents
chosen
Indicates the quantity or count of events associated with a given entity or context.
-
B.
numberOfMainEvents
Indicates the total count of primary or most significant events associated with a given entity or context.
-
C.
gamesHeldEvery
Indicates that games are conducted with a regular frequency or on every occurrence of a specified time interval or condition.
-
D.
oftenHeldAs
Indicates that one entity is frequently regarded, considered, or believed to be in a particular way with respect to another entity or property.
-
E.
refersToEventHeld
Indicates that one entity makes reference to, or is associated with, a specific event that has taken place.
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.