Triple
T17289558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Dupont |
E419747
|
entity |
| Predicate | nationalTeamDebutInSport |
P126827
|
FINISHED |
| Object | rugby union |
—
|
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: rugby union | Statement: [Antoine Dupont, nationalTeamDebutInSport, rugby union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalTeamDebutInSport Context triple: [Antoine Dupont, nationalTeamDebutInSport, rugby union]
-
A.
nationalTeamDebutCountry
Indicates the country for which an individual first made an official appearance on a national team.
-
B.
olympicDebut
Indicates the event or year in which an entity first participated in the Olympic Games.
-
C.
internationalTeamDebutYear
Indicates the year in which an entity (typically an athlete) first appeared in competition for an international team.
-
D.
nationalTeamFor
Indicates that one entity serves as the national team representing another entity, typically a country or nation, in a given sport or activity.
-
E.
playedForNationalTeamFrom
Indicates that an entity was a member of and played for a particular national team starting from a specified date or time period.
- F. None of above. chosen
Provenance (4 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43782b7ac8190b702567e9ccf9a35 |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:40 a.m.