Triple
T10978437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonezawa Castle ruins |
E259432
|
entity |
| Predicate | cityParkStatus |
P96425
|
FINISHED |
| Object | park-like area |
—
|
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: park-like area | Statement: [Yonezawa Castle ruins, cityParkStatus, park-like area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityParkStatus Context triple: [Yonezawa Castle ruins, cityParkStatus, park-like area]
-
A.
currentParkName
Indicates the name of the park where the entity is currently located or associated.
-
B.
openedInPark
Indicates that an entity was opened, inaugurated, or began operating within the boundaries of a park.
-
C.
parkSectionOpening
Indicates that a specific section of a park is opening or becoming available for use, typically at a particular time or under certain conditions.
-
D.
countyParkOrArea
Indicates that a location is designated as a county-level park or recreational area under the jurisdiction of a county authority.
-
E.
cityCenterStatus
Indicates whether a location holds the status of being the central or main area of a city.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f7b874819087bf5a858905279b |
completed | April 9, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.