Triple
T38098833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokiškis |
E951319
|
entity |
| Predicate | hasRegionalMuseum |
P37091
|
FINISHED |
| Object | Rokiškis Regional Museum |
E2255537
|
NE 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: Rokiškis Regional Museum | Statement: [Rokiškis, hasRegionalMuseum, Rokiškis Regional Museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalMuseum Context triple: [Rokiškis, hasRegionalMuseum, Rokiškis Regional Museum]
-
A.
isRegionalMuseum
Indicates that a museum operates at a regional level, serving and representing a specific geographic area rather than a local, national, or international scope.
-
B.
hasMuseumAt
chosen
Indicates that a museum is located at or exists in a specified place or location.
-
C.
museumRegion
Indicates that a museum is located within or associated with a particular geographic region.
-
D.
hasMemorialMuseum
Indicates that a memorial museum is dedicated to, associated with, or established in honor of a particular entity.
-
E.
hasNumberOfMuseums
Indicates the quantity of museums associated with a given entity.
- F. None of above.
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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a417119da708190a9e0a516c71fd333 |
completed | June 28, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.