Triple
T24344323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 MLB All-Star Game |
E613597
|
entity |
| Predicate | leagueLoser |
P155783
|
FINISHED |
| Object | National League |
—
|
NE NERFINISHED |
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: National League | Statement: [2008 MLB All-Star Game, leagueLoser, National League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueLoser Context triple: [2008 MLB All-Star Game, leagueLoser, National League]
-
A.
loserLeague
Indicates that an entity participates in or belongs to a league or competition specifically designated for losers or last-place finishers.
-
B.
losingLeagueTeam
Indicates that a team is the one that lost in a particular league game or competition.
-
C.
losingTeamLeague
Indicates that a team is the losing side in a game or match within a particular league.
-
D.
losingLeague
Indicates that a league is in a losing or disadvantaged position, such as having an overall negative performance or being behind its competitors.
-
E.
loserFranchise
Indicates a relationship where a sports franchise is characterized as consistently unsuccessful or underperforming, often failing to achieve significant wins or championships.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293270c908190872e0ec38f391fa5 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:58 a.m.