Triple
T29125616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishi Chaya District |
E738217
|
entity |
| Predicate | hasMuseumOrCenter |
P37091
|
FINISHED |
| Object | Nishi Chaya Shiryokan Museum |
—
|
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: Nishi Chaya Shiryokan Museum | Statement: [Nishi Chaya District, hasMuseumOrCenter, Nishi Chaya Shiryokan Museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMuseumOrCenter Context triple: [Nishi Chaya District, hasMuseumOrCenter, Nishi Chaya Shiryokan Museum]
-
A.
hasMuseumAt
chosen
Indicates that a museum is located at or exists in a specified place or location.
-
B.
hasMuseumComponent
Indicates that something includes, contains, or is composed of a museum or museum-related part as one of its components.
-
C.
hasMuseumCluster
Indicates that one entity contains, hosts, or is associated with a group or network of museums as a clustered unit.
-
D.
hasMuseumFunction
Indicates that an entity serves the role or performs the function of a museum.
-
E.
hasMuseumType
Indicates that an entity is classified as a museum of a specific type or category.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 28, 2026, 11:28 a.m.