Triple
T32076863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leones de Ponce |
E819178
|
entity |
| Predicate | hasWonCaribbeanSeriesTitles |
P194866
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Leones de Ponce, hasWonCaribbeanSeriesTitles, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonCaribbeanSeriesTitles Context triple: [Leones de Ponce, hasWonCaribbeanSeriesTitles, yes]
-
A.
hasWorldSeriesTitle
Indicates that an entity (typically a baseball team) has won at least one World Series championship title.
-
B.
hasWonSeries
Indicates that one entity has achieved overall victory in a multi-game or multi-event series against another entity.
-
C.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
D.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
E.
hasWonMultipleChampionships
Indicates that the subject has secured championship titles on more than one separate occasion.
- 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_69f348ff8ef88190931c08ba530a36bc |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_69fd8ccaee848190acd59d7d643ad062 |
completed | May 8, 2026, 7:12 a.m. |
Created at: May 1, 2026, 12:23 a.m.