Triple
T102126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2004 World Series |
E2060
|
entity |
| Predicate | seriesOutcome |
P374
|
FINISHED |
| Object | sweep |
—
|
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: sweep | Statement: [2004 World Series, seriesOutcome, sweep]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesOutcome Context triple: [2004 World Series, seriesOutcome, sweep]
-
A.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
B.
partOfSeriesOfEvents
Indicates that an event is one element within a larger, ordered sequence of related events.
-
C.
result
chosen
Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
-
D.
historicalOutcome
Indicates the result or consequence that an event, action, or situation produced in a historical context.
-
E.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2563a6ff48190bec582fb2f99b7af |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.