Triple
T26948613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2001 Boston Red Sox season |
E678717
|
entity |
| Predicate | seasonNumberForFranchise |
P36661
|
FINISHED |
| Object | 101 |
—
|
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: 101 | Statement: [2001 Boston Red Sox season, seasonNumberForFranchise, 101]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonNumberForFranchise Context triple: [2001 Boston Red Sox season, seasonNumberForFranchise, 101]
-
A.
championshipNumberForFranchise
Indicates the number of championships that have been won by a given franchise.
-
B.
franchiseSeasonNumber
chosen
Indicates the specific season number assigned to an installment within a larger franchise series.
-
C.
leagueSeasonNumber
Indicates the ordinal number assigned to a particular season within a league’s sequence of seasons.
-
D.
numberOfSeasonsWithTeam
Indicates the total count of seasons an entity (e.g., a player or coach) has spent with a particular team.
-
E.
seasonNumberInConferenceHistory
Indicates the ordinal number of a particular season within the overall chronological history of a conference.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 27, 2026, 6:23 a.m.