Triple
T2118322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1990 World Series |
E43857
|
entity |
| Predicate | runnerUpDefendingChampion |
P2688
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1990 World Series, runnerUpDefendingChampion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpDefendingChampion Context triple: [1990 World Series, runnerUpDefendingChampion, true]
-
A.
runnerUp
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
B.
defendingChampion
chosen
Indicates that an entity currently holds a title or championship and is defending it against challengers.
-
C.
runnerUpLeague
Indicates that an entity finished in second place in a league competition.
-
D.
runnerUpParty
Indicates the political party that finished in second place in an election or contest.
-
E.
runnerUpPreviousAppearance
Indicates that an entity finished as the runner-up in its immediately preceding appearance or participation in a given event or context.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb3117c081908c5e748a869d1f9f |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.