Triple
T32092679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina defeated France in opening match |
E819636
|
entity |
| Predicate | partOfCampaignOf |
P2543
|
FINISHED |
| Object | Argentina at the 2007 Rugby World Cup |
—
|
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: Argentina at the 2007 Rugby World Cup | Statement: [Argentina defeated France in opening match, partOfCampaignOf, Argentina at the 2007 Rugby World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCampaignOf Context triple: [Argentina defeated France in opening match, partOfCampaignOf, Argentina at the 2007 Rugby World Cup]
-
A.
partOfCampaign
chosen
Indicates that an entity participates in, belongs to, or is included within a specific campaign.
-
B.
supportedCampaignOf
Indicates that one entity actively backed, promoted, or provided assistance to the campaign associated with another entity.
-
C.
continuedCampaignsOf
Indicates that one campaign is a direct continuation or follow-up of another campaign, extending its efforts or objectives over time.
-
D.
wasFaceOfCampaign
Indicates that an entity served as the primary public representative or spokesperson featured in a specific campaign.
-
E.
conductedCampaignsAgainst
Indicates that an entity organized and carried out systematic efforts or operations targeting another entity in opposition or conflict.
- 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_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
Created at: May 1, 2026, 12:25 a.m.