Triple
T8406558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiba-koen |
E198513
|
entity |
| Predicate | hasParkOpening |
P63554
|
FINISHED |
| Object | Meiji era (Shiba Park) |
—
|
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: Meiji era (Shiba Park) | Statement: [Shiba-koen, hasParkOpening, Meiji era (Shiba Park)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParkOpening Context triple: [Shiba-koen, hasParkOpening, Meiji era (Shiba Park)]
-
A.
openedInPark
chosen
Indicates that an entity was opened, inaugurated, or began operating within the boundaries of a park.
-
B.
hasParkAccess
Indicates that an entity is permitted to enter, use, or otherwise access a specified park or park area.
-
C.
hasParkStatus
Indicates that an entity holds a particular designation or status related to being a park (e.g., national park, city park, protected parkland).
-
D.
hasParkOperator
Indicates that a park is operated or managed by a specific organization or individual.
-
E.
hasParkArea
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb831409308190981089c303ebaef4 |
completed | March 31, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:05 p.m.