Triple
T18418673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico de Príncipe |
E441962
|
entity |
| Predicate | locatedOnIsland |
P970
|
FINISHED |
| Object | Príncipe |
—
|
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: Príncipe | Statement: [Pico de Príncipe, locatedOnIsland, Príncipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Príncipe Context triple: [Pico de Príncipe, locatedOnIsland, Príncipe]
-
A.
Príncipe
chosen
Príncipe is the smaller, less-populated island of the Central African island nation of São Tomé and Príncipe, known for its lush rainforests, biodiversity, and status as a UNESCO Biosphere Reserve.
-
B.
Príncep
Príncep is the surname of Spanish actor Roger Príncep, known for his role in the film "The Orphanage."
-
C.
Prinze
Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
-
D.
Prinz
Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
-
E.
Prence
Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2a0fb08190b409ed200a9d86a6 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.