Triple
T1278394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prado Museum |
E27266
|
entity |
| Predicate | visitorCountRank |
P16499
|
FINISHED |
| Object | one of the most visited art museums in the world |
—
|
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: one of the most visited art museums in the world | Statement: [Prado Museum, visitorCountRank, one of the most visited art museums in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitorCountRank Context triple: [Prado Museum, visitorCountRank, one of the most visited art museums in the world]
-
A.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
-
B.
visitorAttractionRank
chosen
Indicates the relative ranking or position of a visitor attraction compared to other attractions, typically based on popularity, quality, or importance.
-
C.
visitorStatus
Indicates the current state or condition of an entity in its role as a visitor (e.g., whether they are active, pending, past, or otherwise classified in their visit).
-
D.
numberOfRankedPeople
Indicates the total count of people who have been assigned a rank within a given context or system.
-
E.
frequentlyVisitedBy
Indicates that an entity is regularly or often visited by another entity.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.