Triple
T37778033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parque Estadual da Pedra Azul |
E941742
|
entity |
| Predicate | isInTourismRoute |
P174024
|
FINISHED |
| Object | mountain region of Espírito Santo |
—
|
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: mountain region of Espírito Santo | Statement: [Parque Estadual da Pedra Azul, isInTourismRoute, mountain region of Espírito Santo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInTourismRoute Context triple: [Parque Estadual da Pedra Azul, isInTourismRoute, mountain region of Espírito Santo]
-
A.
isMajorTourismRoute
Indicates that a route serves as a primary corridor for significant tourism-related travel and activities.
-
B.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
C.
isPartOfTouristArea
Indicates that one entity is located within or belongs to a designated tourist area or tourist-focused region.
-
D.
isTourismSiteIn
chosen
Indicates that a tourism site is located within or belongs to a specified geographic or administrative area.
-
E.
containsTouristArea
Indicates that a place or region includes within its boundaries an area primarily designated or recognized for tourism activities.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbaf45bd40819090879114ec90db3e |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.