Triple
T24344300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 MLB All-Star Game |
E613596
|
entity |
| Predicate | NLErrors |
P69666
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [2006 MLB All-Star Game, NLErrors, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NLErrors Context triple: [2006 MLB All-Star Game, NLErrors, 0]
-
A.
NationalLeagueErrors
chosen
Indicates the number of fielding errors committed by a team or player in National League games.
-
B.
errorSide
Indicates the side, party, or component on which an error occurs or is attributed in a given context.
-
C.
errorType
Indicates the specific category or kind of error associated with an event, action, or entity.
-
D.
notableException
Indicates that something or someone stands out as an unusual or noteworthy deviation from an expected pattern, rule, or general case.
-
E.
errorTerm
Indicates the specific discrepancy or residual value that quantifies the difference between an observed outcome and its predicted or true value in a model or calculation.
- 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_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. |
Created at: April 18, 2026, 1:58 a.m.