Triple
T10099248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1903 Boston Americans |
E215954
|
entity |
| Predicate | worldSeriesGamesWon |
P15130
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [1903 Boston Americans, worldSeriesGamesWon, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldSeriesGamesWon Context triple: [1903 Boston Americans, worldSeriesGamesWon, 5]
-
A.
WorldSeriesGames
Indicates a relationship where a game is identified as one of the games that make up a particular World Series.
-
B.
WorldSeriesGamesLost
Indicates the number of World Series games that a team has lost in a given World Series or across World Series appearances.
-
C.
WorldSeriesChampionships
Indicates the number of World Series championship titles that an entity (typically a baseball team or franchise) has won.
-
D.
worldSeriesGamesHosted
Indicates that the subject has hosted one or more World Series baseball games, with the object specifying which games or how many were hosted.
-
E.
gamesWonBy
chosen
Indicates the number of games that have been won by a particular entity in a given context.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd07d686481908d9bb91392954474 |
completed | April 2, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9b853c8190a2af993ce9b21309 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:02 p.m.