Triple
T14253094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PAIGC |
E353317
|
entity |
| Predicate | generalSecretary |
P1881
|
FINISHED |
| Object | Luís Cabral |
E1089621
|
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: Luís Cabral | Statement: [PAIGC, generalSecretary, Luís Cabral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luís Cabral Context triple: [PAIGC, generalSecretary, Luís Cabral]
-
A.
Luís Cabral
chosen
Luís Cabral was a Bissau-Guinean politician and independence leader who became the first President of Guinea-Bissau after its liberation from Portuguese colonial rule.
-
B.
Francisco Cardoso
Francisco Cardoso is a notable individual distinguished by achievements significant enough to be specifically recognized as a bearer of the Cardoso surname.
-
C.
Manuel da Costa
Manuel da Costa is a Portuguese professional footballer best known as a central defender who has played for several European clubs and the Moroccan national team.
-
D.
Tulio Monteiro
Tulio Monteiro is a character in the animated film "Rio," known as the kind-hearted ornithologist who helps protect rare birds.
-
E.
Amílcar Falcão
Amílcar Falcão is a Portuguese academic and pharmacist who serves as rector of the historic University of Coimbra.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6297f38c819090d7c7fd8bfa2e9e |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d127f0c81908dea42ca09c1abda |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:09 a.m.