Triple
T26948951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 Los Angeles Dodgers season |
E678725
|
entity |
| Predicate | franchiseSeasonNumberInLosAngeles |
P163467
|
FINISHED |
| Object | 49 |
—
|
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: 49 | Statement: [2006 Los Angeles Dodgers season, franchiseSeasonNumberInLosAngeles, 49]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseSeasonNumberInLosAngeles Context triple: [2006 Los Angeles Dodgers season, franchiseSeasonNumberInLosAngeles, 49]
-
A.
franchiseSeasonNumber
Indicates the specific season number assigned to an installment within a larger franchise series.
-
B.
franchiseStartSeason
Indicates the season in which a particular franchise or series first began or was introduced.
-
C.
numberOfSeasonsWithTeam
Indicates the total count of seasons an entity (e.g., a player or coach) has spent with a particular team.
-
D.
leagueSeasonNumber
Indicates the ordinal number assigned to a particular season within a league’s sequence of seasons.
-
E.
seasonNumberInStLouis
Indicates the ordinal number of a subject’s season that took place in St. Louis.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f638344b148190bf0414ef7c5f1f38 |
completed | May 2, 2026, 5:45 p.m. |
Created at: April 27, 2026, 6:23 a.m.