Triple
T1357848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National League Championship Series |
E29028
|
entity |
| Predicate | bestOfSevenEraStart |
P27986
|
FINISHED |
| Object | 1985 |
—
|
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: 1985 | Statement: [National League Championship Series, bestOfSevenEraStart, 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestOfSevenEraStart Context triple: [National League Championship Series, bestOfSevenEraStart, 1985]
-
A.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
-
B.
originalRunEra
Indicates the time period or era during which something (such as a show, series, or product) was first originally run or released.
-
C.
firstWorldSeriesChampionship
Indicates that the subject entity won its first World Series championship title in the referenced season or event.
-
D.
firstPerformanceEra
Indicates the time period during which an entity’s earliest known performance or debut took place.
-
E.
climaxSeriesIntroduced
Indicates that a particular series is first introduced or begins its climactic phase at a specified point or within a specified context.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c28f5b988190b0be4504eabb919d |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c20fd1fc8190977a768b1ed2d23b |
completed | March 1, 2026, 10:47 p.m. |
Created at: March 1, 2026, 7:56 p.m.