Triple
T38135196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museu Histórico Emílio da Silva |
E952330
|
entity |
| Predicate | accessibleForTourism |
P17187
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Museu Histórico Emílio da Silva, accessibleForTourism, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessibleForTourism Context triple: [Museu Histórico Emílio da Silva, accessibleForTourism, true]
-
A.
touristAccess
chosen
Indicates that a place or resource is available for use or visitation by tourists.
-
B.
hasGoalForTourists
Indicates that something is intended or designed to achieve a specific objective or benefit for tourists.
-
C.
hasTouristInfrastructure
Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
-
D.
hasTourismPotential
Indicates that a place or resource possesses qualities that make it attractive or suitable for tourism activities or development.
-
E.
hasTouristAttractionRole
Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, or area).
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:21 p.m.