Triple
T260498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1916 World Series |
E5529
|
entity |
| Predicate | BabeRuthScorelessInningsStreakExtendedTo |
P10313
|
FINISHED |
| Object | 29⅔ innings |
—
|
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: 29⅔ innings | Statement: [1916 World Series, BabeRuthScorelessInningsStreakExtendedTo, 29⅔ innings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BabeRuthScorelessInningsStreakExtendedTo Context triple: [1916 World Series, BabeRuthScorelessInningsStreakExtendedTo, 29⅔ innings]
-
A.
ledLeagueInHomeRuns
Indicates that the subject achieved the highest number of home runs in a particular league over a specified season or time period.
-
B.
endedChampionshipDrought
Indicates that an entity’s achievement brought an end to a prolonged period without a championship title for a team or organization.
-
C.
careerHomeRuns
Indicates the total number of home runs an entity has hit over the entire span of their professional career.
-
D.
ledLeagueInRBIs
Indicates that the subject had the highest number of runs batted in (RBIs) in a particular league over a specified season or time period.
-
E.
careerRBIs
Indicates the total number of runs a player has batted in over the course of their entire career.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25f921c2881908821ca2c03815eae |
completed | Feb. 28, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69a25b6b3ea88190bbd858999e42efae |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25f9163f881909232f8aea502cf80 |
completed | Feb. 28, 2026, 3:22 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.