Triple
T15570328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castanheira de Pera |
E374221
|
entity |
| Predicate | hasRiverBeach |
P119229
|
FINISHED |
| Object | Praia das Rocas |
—
|
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: Praia das Rocas | Statement: [Castanheira de Pera, hasRiverBeach, Praia das Rocas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverBeach Context triple: [Castanheira de Pera, hasRiverBeach, Praia das Rocas]
-
A.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
B.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
C.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
-
D.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
E.
hasBeachSlope
Indicates that a location or coastal area possesses a particular gradient or steepness of its beach surface.
- F. None of above. chosen
Provenance (4 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:10 a.m.