Triple
T1241273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoyogi Park |
E26661
|
entity |
| Predicate | hasOpeningStatus |
P10070
|
FINISHED |
| Object | open year-round |
—
|
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: open year-round | Statement: [Yoyogi Park, hasOpeningStatus, open year-round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpeningStatus Context triple: [Yoyogi Park, hasOpeningStatus, open year-round]
-
A.
hasOpeningType
Indicates that one entity has, features, or is characterized by a particular type or kind of opening.
-
B.
openStatus
chosen
Indicates whether an entity (such as a place, service, or resource) is currently open or available for use.
-
C.
isOpenTo
Indicates that one entity is receptive, willing, or available to consider, accept, or engage with another entity or proposal.
-
D.
openedForUse
Indicates that something has been made accessible and available for its intended operation or use.
-
E.
hasOpeningDeclaredBy
Indicates that the opening or initial state of something is formally specified or announced by a particular agent or authority.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf44ac3c8190a28a333b320305fd |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.