Triple
T36231334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1978 Major League Baseball season |
E891252
|
entity |
| Predicate | ALRunnerUpCity |
P48391
|
FINISHED |
| Object | Boston |
—
|
NE NERFINISHED |
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: Boston | Statement: [1978 Major League Baseball season, ALRunnerUpCity, Boston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ALRunnerUpCity Context triple: [1978 Major League Baseball season, ALRunnerUpCity, Boston]
-
A.
homeCityOfRunnerUpTeam
chosen
Indicates the city that serves as the home base for the team that finished in second place in a competition or event.
-
B.
secondLargestMetropolitanArea
Indicates that one entity is the second largest metropolitan area (by population or size, as context defines) within the scope defined by the other entity.
-
C.
isSecondMostPopulousCityIn
Indicates that a city is the second most populous city within a specified larger region or country.
-
D.
regionOfRunnerUp
Indicates the geographic region associated with the runner-up in a competition or event.
-
E.
representedCity
Indicates that an entity serves as the official representative or proxy for a particular city.
- 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.