Triple
T11980913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2004 Boston Red Sox season |
E285155
|
entity |
| Predicate | WorldSeriesGameCount |
P20547
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [2004 Boston Red Sox season, WorldSeriesGameCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldSeriesGameCount Context triple: [2004 Boston Red Sox season, WorldSeriesGameCount, 4]
-
A.
WorldSeriesGames
Indicates a relationship where a game is identified as one of the games that make up a particular World Series.
-
B.
WorldSeriesNumber
Indicates the specific sequential number assigned to a particular edition of the World Series in the overall series of championships.
-
C.
WorldSeriesGamesLost
Indicates the number of World Series games that a team has lost in a given World Series or across World Series appearances.
-
D.
WorldSeriesAppearanceNumberForWinner
Indicates the ordinal number of times the winning team has appeared in the World Series up to and including that instance.
-
E.
worldSeriesGamesHosted
chosen
Indicates that the subject has hosted one or more World Series baseball games, with the object specifying which games or how many were hosted.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.