Triple
T28770030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco Escobar |
E726385
|
entity |
| Predicate | countryOfLeagueExperience |
P3509
|
FINISHED |
| Object | United States of America |
—
|
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: United States of America | Statement: [Franco Escobar, countryOfLeagueExperience, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfLeagueExperience Context triple: [Franco Escobar, countryOfLeagueExperience, United States of America]
-
A.
homeCountryLeagueLevel
Indicates the competitive tier or division level of the league in the subject’s home country with which the subject is associated.
-
B.
countryOfLeague
chosen
Indicates the country in which a given league is based or officially belongs.
-
C.
homeCountryTopLeagueParticipation
Indicates that an entity participates in the highest-level professional sports league of its home country.
-
D.
countryOfLeagueMatches
Indicates the country in which the league’s matches are held or officially hosted.
-
E.
hasHomeCountryLeague
Indicates that an entity (typically a sports team or player) is associated with a specific league that operates in its home country.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: April 28, 2026, 6:15 a.m.