Triple
T470037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1905 World Series |
E8534
|
entity |
| Predicate | numberInModernEra |
P15132
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1905 World Series, numberInModernEra, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInModernEra Context triple: [1905 World Series, numberInModernEra, 2]
-
A.
positionInEra
Indicates the temporal placement or role of something within a specific historical or chronological era.
-
B.
introducedInCentury
Indicates the century during which something (such as an idea, technology, practice, or entity) was first introduced or came into use.
-
C.
usedSinceCentury
Indicates that something has been in use starting from a specified century.
-
D.
historicalEraUsheredIn
Indicates the historical era or period that was initiated or brought about as a result of a particular event, action, or entity.
-
E.
ordinalNumber
Indicates the position or rank of an entity within an ordered sequence (e.g., first, second, third).
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efef8b788190857ebf66df562d59 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edebb3988190907992a584b4e260 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef257a548190a96bfa0cf6183976 |
completed | Feb. 28, 2026, 1:35 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.