Triple
T32092591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Argentina |
E819634
|
entity |
| Predicate | firstMeetingApproxEra |
P147385
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [France vs Argentina, firstMeetingApproxEra, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeetingApproxEra Context triple: [France vs Argentina, firstMeetingApproxEra, 20th century]
-
A.
firstMeetingYear
Indicates the calendar year in which two entities first met or had their initial encounter.
-
B.
firstMeetingApproximateDate
chosen
Indicates an estimated or imprecise calendar date on which the first meeting between the related entities took place.
-
C.
firstMeetingSeason
Indicates the season of the year during which two entities first met.
-
D.
firstMeets
Indicates that one entity encounters or comes into contact with another entity for the first time.
-
E.
firstMeetingAge
Indicates the age at which two entities first met or initially came into contact.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:25 a.m.