Triple
T23276124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Region of Fortaleza |
E588722
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Beberibe |
—
|
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: Beberibe | Statement: [Metropolitan Region of Fortaleza, hasMunicipality, Beberibe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beberibe Context triple: [Metropolitan Region of Fortaleza, hasMunicipality, Beberibe]
-
A.
Beberibe
chosen
Beberibe is a coastal municipality in northeastern Brazil known for its scenic beaches, sand dunes, and colorful cliffs.
-
B.
Icó
Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within the state of Ceará.
-
C.
Caraúbas
Caraúbas is a municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
-
D.
Baião
Baião is a Portuguese wine subregion within Vinho Verde, known for producing fresh, aromatic white wines, often from the Avesso grape.
-
E.
Brejo de Beberibe
Brejo de Beberibe is a neighborhood within the city of Recife in the state of Pernambuco, Brazil.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19577841481909acc17bb565bae5c |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:48 p.m.