Triple
T32344753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MMK 3 |
E826424
|
entity |
| Predicate | hasParentMuseumAbbreviation |
P198701
|
FINISHED |
| Object | MMK |
—
|
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: MMK | Statement: [MMK 3, hasParentMuseumAbbreviation, MMK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentMuseumAbbreviation Context triple: [MMK 3, hasParentMuseumAbbreviation, MMK]
-
A.
hasMuseumName
Indicates that an entity (typically a museum) is associated with a specific name or title.
-
B.
hasMuseumAt
Indicates that a museum is located at or exists in a specified place or location.
-
C.
associatedWithMuseum
Indicates a relationship where an entity has a formal or recognized connection to a museum, such as ownership, curation, exhibition, or institutional affiliation.
-
D.
museumManagedBy
Indicates that a museum is administered, operated, or overseen by a particular organization or authority.
-
E.
hasMuseumType
Indicates that an entity is classified as a museum of a specific type or category.
- 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_69f34914dfc48190a390cd0720d9e86f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
| PDg | Predicate description generation | batch_69feff703fec8190ab7d0633e0cc5459 |
completed | May 9, 2026, 9:33 a.m. |
Created at: May 1, 2026, 12:48 a.m.