Triple
T21652404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian semi-arid region |
E534369
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Sobral |
—
|
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: Sobral | Statement: [Brazilian semi-arid region, hasCity, Sobral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sobral Context triple: [Brazilian semi-arid region, hasCity, Sobral]
-
A.
Sobral
chosen
Sobral is a historic city in northeastern Brazil known for its cultural heritage and as the site of key observations confirming Einstein’s theory of general relativity during the 1919 solar eclipse.
-
B.
Wezep
Wezep is a village in the Dutch province of Gelderland, known for its location along the railway line between Utrecht and Zwolle.
-
C.
Saquarema
Saquarema is a coastal city in the state of Rio de Janeiro, Brazil, known for its beaches and strong surfing culture.
-
D.
Bemposta
Bemposta is a civil parish located within the municipality of Abrantes in central Portugal.
-
E.
Cantanhede
Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591594a08190bf0ddd0a0c0922ba |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.