Triple
T18454901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joaquim Pimenta de Castro |
E450878
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pimenta de Castro |
—
|
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: Pimenta de Castro | Statement: [Joaquim Pimenta de Castro, familyName, Pimenta de Castro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pimenta de Castro Context triple: [Joaquim Pimenta de Castro, familyName, Pimenta de Castro]
-
A.
Pimenta de Castro
chosen
Pimenta de Castro was a Portuguese military officer and politician who briefly served as prime minister during the turbulent early years of the First Portuguese Republic.
-
B.
Pimenta dioica
Pimenta dioica is an evergreen tree native to the Caribbean and Central America whose dried unripe berries are used as the spice known as allspice.
-
C.
Segeda
Segeda was a prominent ancient Celtiberian city in what is now northeastern Spain, known for its role in the Celtiberian Wars against Rome.
-
D.
Fajão
Fajão is a small village in central Portugal, situated in the mountainous region of the Arganil municipality.
-
E.
Canela
Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264b200c8190be2e79ca5ea0b082 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:31 a.m.