Triple
T24626476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSG Landers |
E609553
|
entity |
| Predicate | homeBallparkNameHistory |
P12324
|
FINISHED |
| Object | Munhak Baseball Stadium |
—
|
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: Munhak Baseball Stadium | Statement: [SSG Landers, homeBallparkNameHistory, Munhak Baseball Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeBallparkNameHistory Context triple: [SSG Landers, homeBallparkNameHistory, Munhak Baseball Stadium]
-
A.
ballparkNameHistory
chosen
Indicates the historical sequence of names that have been used for a particular ballpark over time.
-
B.
homeBallparkSubsequentName
Indicates that a team's home ballpark later became known by a different name.
-
C.
ballparkNameAtTime
Indicates the name a ballpark had during a specified time or time interval.
-
D.
ballparkFormerName
Indicates that one name was previously used as the official name of a particular ballpark before it was changed.
-
E.
ballparks
Indicates that one entity makes an approximate estimate or rough guess about another entity or quantity.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.