Triple
T37778053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedra Azul |
E941743
|
entity |
| Predicate | stateParkArea |
P159191
|
FINISHED |
| Object | Parque Estadual da Pedra Azul has about 1240 hectares |
—
|
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: Parque Estadual da Pedra Azul has about 1240 hectares | Statement: [Pedra Azul, stateParkArea, Parque Estadual da Pedra Azul has about 1240 hectares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateParkArea Context triple: [Pedra Azul, stateParkArea, Parque Estadual da Pedra Azul has about 1240 hectares]
-
A.
stateParkSystem
Indicates that an entity is part of, managed by, or associated with a state-level park system or network of state parks.
-
B.
wildernessAreaSize
chosen
Indicates the physical extent or area covered by a designated wilderness region.
-
C.
stateParkLocation
Indicates that a state park is located within or associated with a specific geographic place or administrative region.
-
D.
largestParkArea
Indicates that, among a set of entities, one has the park whose area is greater than or equal to that of any other entity’s park.
-
E.
countyParkOrArea
Indicates that a location is designated as a county-level park or recreational area under the jurisdiction of a county authority.
- 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_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: May 3, 2026, 4:19 p.m.