Triple
T16446845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conceição e Cabanas de Tavira |
E399451
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Conceição |
E333606
|
NE 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: Conceição | Statement: [Conceição e Cabanas de Tavira, hasComponent, Conceição]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conceição Context triple: [Conceição e Cabanas de Tavira, hasComponent, Conceição]
-
A.
Conceição
chosen
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
B.
Vilhena
Vilhena is a municipality in the southern part of the Brazilian state of Rondônia, known as an important regional agricultural and commercial center.
-
C.
Corumbá
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
-
D.
Rio Claro
Rio Claro is a town in southeastern Trinidad known as a commercial and transportation hub for the surrounding rural communities.
-
E.
Rio Claro
Rio Claro is a municipality in the interior of Brazil’s state of São Paulo, known for its industrial activity and regional educational institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdcedf8819080aa82a8712c0b42 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004594a4508190be08f3acfff36ab0 |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.