Triple
T4997244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lob City era |
E112277
|
entity |
| Predicate | regularSeasonSuccess |
P61391
|
FINISHED |
| Object | multiple 50-win seasons |
—
|
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: multiple 50-win seasons | Statement: [Lob City era, regularSeasonSuccess, multiple 50-win seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regularSeasonSuccess Context triple: [Lob City era, regularSeasonSuccess, multiple 50-win seasons]
-
A.
hasRegularSeason
Indicates that an entity (such as a league, competition, or sport) includes or is associated with a defined regular season phase of play.
-
B.
regularSeasonWins
Indicates the number of games a team wins during the regular season of a competition.
-
C.
hasRegularSeasonImportance
Indicates that something possesses significance or relevance specifically within the context of a regular season.
-
D.
regularSeasonTitle
Indicates that a team or competitor won the championship or top standing for the regular season portion of a competition or league.
-
E.
runnerUpRegularSeasonRecord
Indicates the regular season performance record (such as wins and losses) of the team that finished as runner-up.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd74713fc88190916c2b04cd2e677e |
completed | March 20, 2026, 4:23 p.m. |
Created at: March 20, 2026, 1:34 p.m.