Triple
T4439374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 World Series |
E95730
|
entity |
| Predicate | championTotalLossesIncludingPostseason |
P56033
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [1998 World Series, championTotalLossesIncludingPostseason, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championTotalLossesIncludingPostseason Context triple: [1998 World Series, championTotalLossesIncludingPostseason, 50]
-
A.
championRegularSeasonWins
Indicates that an entity is the champion based on having the highest number of regular season wins.
-
B.
careerLosses
Indicates the total number of defeats or losses an entity has accumulated over the course of its entire career.
-
C.
regularSeasonLosses
Indicates the number of games a team lost during the regular season portion of a competition or league.
-
D.
lostFinalsTo
Indicates that one competitor was defeated by another in the final round of a competition or tournament.
-
E.
gamesLostBy
Indicates the number of games that one entity has been defeated in by another entity.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:31 p.m.