Triple
T26035958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Refúgio Beach |
E647550
|
entity |
| Predicate | distanceFromAracaju |
P193458
|
FINISHED |
| Object | approximately 15–20 km south |
—
|
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: approximately 15–20 km south | Statement: [Refúgio Beach, distanceFromAracaju, approximately 15–20 km south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAracaju Context triple: [Refúgio Beach, distanceFromAracaju, approximately 15–20 km south]
-
A.
distanceToMaceio
Indicates the measured or calculated spatial distance between a given entity’s location and the city of Maceió.
-
B.
distanceFromFortaleza
Indicates the measured distance between a given entity or location and the city of Fortaleza.
-
C.
distanceToJoãoPessoa
Indicates the spatial distance between a given entity or location and the city of João Pessoa.
-
D.
distanceToSãoPaulo
Indicates the spatial distance between a given entity’s location and the city of São Paulo.
-
E.
distanceToBeloHorizonte
Indicates the spatial distance between an entity and the location of Belo Horizonte.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: April 22, 2026, 9:07 a.m.