Triple
T6123431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crato |
E136535
|
entity |
| Predicate | hasNaturalAttractionNearby |
P3449
|
FINISHED |
| Object | Araripe Plateau viewpoints |
—
|
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: Araripe Plateau viewpoints | Statement: [Crato, hasNaturalAttractionNearby, Araripe Plateau viewpoints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNaturalAttractionNearby Context triple: [Crato, hasNaturalAttractionNearby, Araripe Plateau viewpoints]
-
A.
hasAttractionNearby
chosen
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
-
B.
hasNearbyNatureReserve
Indicates that one place or entity is located close to a designated nature reserve.
-
C.
followsNaturalFeature
Indicates that one entity’s position, path, or boundary runs alongside or is aligned with a natural geographic feature (such as a river, coastline, or ridgeline).
-
D.
hasNaturalPhenomenon
Indicates that a location, region, or environment possesses or is characterized by a particular natural phenomenon (such as a weather event, geological feature, or celestial occurrence).
-
E.
hasMountainPassNearby
Indicates that a mountain pass is located in close proximity to the referenced place or feature.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c25976081909e0a40e07dff0b8a |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.