Triple
T4838665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland Spiders |
E108125
|
entity |
| Predicate | reasonForFewHomeGamesIn1899 |
P59682
|
FINISHED |
| Object | poor attendance and financial issues |
—
|
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: poor attendance and financial issues | Statement: [Cleveland Spiders, reasonForFewHomeGamesIn1899, poor attendance and financial issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForFewHomeGamesIn1899 Context triple: [Cleveland Spiders, reasonForFewHomeGamesIn1899, poor attendance and financial issues]
-
A.
worldSeriesGamesHosted
Indicates that the subject has hosted one or more World Series baseball games, with the object specifying which games or how many were hosted.
-
B.
WorldSeriesGamesLost
Indicates the number of World Series games that a team has lost in a given World Series or across World Series appearances.
-
C.
playsHomeGamesOn
Indicates that an entity regularly hosts its home games or matches at a specified location or venue.
-
D.
numberOfMLBGamesUmpired
Indicates the total count of Major League Baseball games that a given umpire has officiated.
-
E.
playedHomeGamesUntil
Indicates the period up to which a team or player hosted their home games at a particular venue.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dfff1488190a32bbb615bfab970 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:25 p.m.