Triple
T24305686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League 1902 season |
E612527
|
entity |
| Predicate | secondPlaceTeamRecord |
P155496
|
FINISHED |
| Object | St. Louis Browns 78–58 |
—
|
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: St. Louis Browns 78–58 | Statement: [American League 1902 season, secondPlaceTeamRecord, St. Louis Browns 78–58]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPlaceTeamRecord Context triple: [American League 1902 season, secondPlaceTeamRecord, St. Louis Browns 78–58]
-
A.
secondFinishingTeam
Indicates that a team finished in second place in a competition or event.
-
B.
secondPlace
Indicates that an entity holds the position of runner-up or finishes in second place in a ranked ordering, competition, or comparison relative to others.
-
C.
secondPlaceTime
Indicates the time at which an entity achieved second place in a ranked event or competition.
-
D.
secondRunnerUp
Indicates that one entity finished in third place in a competition or ranking relative to the others.
-
E.
secondWinningSeason
Indicates that the season in question is the second time an entity (such as a team or individual) has achieved a winning record or successful outcome.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922641bc81908fa3595941e60741 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:30 a.m.