Triple
T15168659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vélez Sarsfield |
E362425
|
entity |
| Predicate | hasWonInternationalTitles |
P67896
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Vélez Sarsfield, hasWonInternationalTitles, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonInternationalTitles Context triple: [Vélez Sarsfield, hasWonInternationalTitles, true]
-
A.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
B.
hasWonMultipleChampionships
Indicates that the subject has secured championship titles on more than one separate occasion.
-
C.
simultaneouslyHeldWorldTitlesIn
Indicates that the same entity held world championship titles in multiple categories or organizations at the same time within the specified domain or period.
-
D.
majorTitleWon
Indicates that an entity has won a significant or top-level title, championship, or major award in a given domain.
-
E.
hasInternationalAchievements
chosen
Indicates that an entity has attained notable accomplishments or recognition at an international level.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.