Triple
T20955495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confissão da Leoa |
E516088
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Caminho |
—
|
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: Caminho | Statement: [Confissão da Leoa, publisher, Caminho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caminho Context triple: [Confissão da Leoa, publisher, Caminho]
-
A.
Caminho
chosen
Caminho is a Portuguese publishing house known for releasing notable works of Lusophone literature.
-
B.
Caminha
Caminha is a historic coastal town and municipality in northern Portugal, situated at the mouth of the Minho River near the Spanish border.
-
C.
Camino
Camino is a small municipality in Italy’s Piedmont region, situated within the historic, hilly wine-producing area of Monferrato.
-
D.
Linha de Passe
Linha de Passe is a Brazilian drama film that follows four brothers and their struggling single mother in São Paulo as they navigate poverty, ambition, and family tensions.
-
E.
Droga
Droga is a monumental sculptural installation by artist Ursula von Rydingsvard, known for her large-scale, textured forms often crafted from cedar wood and other natural materials.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fae2299c8190afa1b9ec5bd9df32 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 1:28 p.m.