Triple
T32092690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina defeated France in opening match |
E819636
|
entity |
| Predicate | teamNicknameOfFrance |
P5076
|
FINISHED |
| Object | Les Bleus |
—
|
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: Les Bleus | Statement: [Argentina defeated France in opening match, teamNicknameOfFrance, Les Bleus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNicknameOfFrance Context triple: [Argentina defeated France in opening match, teamNicknameOfFrance, Les Bleus]
-
A.
governingBodyOfFranceTeam
Indicates that the subject is the organization that serves as the official governing body for the France team.
-
B.
strengthFrance
Indicates a relationship where a level, measure, or attribute of strength is associated specifically with France.
-
C.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
D.
cityFirstNLLFranchiseOf
Indicates that a city is the first location to host an NLL (National Lacrosse League) franchise for a given organization or entity.
-
E.
teamNickname
chosen
Indicates the commonly used informal or symbolic name by which a team is known.
- 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_69f6b967d5308190bbb66d0a8dd52612 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:25 a.m.