Triple
T36789366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brukenthal National Museum |
E909008
|
entity |
| Predicate | oneOfMostImportantArtMuseumsIn |
P2014
|
FINISHED |
| Object | Romania |
—
|
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: Romania | Statement: [Brukenthal National Museum, oneOfMostImportantArtMuseumsIn, Romania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfMostImportantArtMuseumsIn Context triple: [Brukenthal National Museum, oneOfMostImportantArtMuseumsIn, Romania]
-
A.
isOneOfLargestArtMuseumsIn
Indicates that the subject is among the largest art museums located in the specified place or region.
-
B.
isMostVisitedArtMuseumIn
Indicates that an art museum holds the highest number of visitors compared to all other art museums within a specified location or region.
-
C.
oneOfTheLargestMuseumsIn
Indicates that the subject is among the largest museums located in the specified place.
-
D.
majorMuseum
chosen
Indicates that a museum holds significant importance or prominence, typically due to its size, collections, reputation, or cultural impact.
-
E.
oneOfLargestPrivateMuseumsIn
Indicates that the subject is among the largest privately owned museums located in the specified place.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.