Triple
T10200096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Rico national baseball team |
E238858
|
entity |
| Predicate | WBC2017Record |
P92665
|
FINISHED |
| Object | runner-up to United States |
—
|
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: runner-up to United States | Statement: [Puerto Rico national baseball team, WBC2017Record, runner-up to United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WBC2017Record Context triple: [Puerto Rico national baseball team, WBC2017Record, runner-up to United States]
-
A.
WBCAppearances
Indicates the number of times an entity has participated in or appeared in Women's British Colleges Association (WBCA) events or competitions.
-
B.
T20WorldCupBestResult
Indicates the best performance or furthest stage an entity has achieved in a T20 Cricket World Cup tournament.
-
C.
2013WBCRecord
Indicates the win-loss record or performance outcome of an entity (such as a team or player) in the 2013 World Baseball Classic.
-
D.
worldCupRecord
Indicates a relationship that specifies an entity’s performance statistics or achievements in FIFA World Cup competitions.
-
E.
odiWickets
Indicates the number of wickets a bowler has taken in One Day International (ODI) cricket.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3f3bac8190a63a81edffe7cda7 |
completed | April 2, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8b7f348190a585daa70de4d4c8 |
completed | April 1, 2026, 8:14 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:14 p.m.