Triple
T9139944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Gallega |
E219298
|
entity |
| Predicate | sailedWith |
P880
|
FINISHED |
| Object | Pinta |
E43365
|
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: Pinta | Statement: [La Gallega, sailedWith, Pinta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinta Context triple: [La Gallega, sailedWith, Pinta]
-
A.
Pinta
chosen
Pinta was one of the three ships in Christopher Columbus's 1492 expedition that led to the European discovery of the Americas.
-
B.
Pinta Island
Pinta Island is a remote, uninhabited island in Ecuador’s Galápagos archipelago, best known as the former home of Lonesome George, the last known Pinta Island tortoise.
-
C.
Fernandina de Jagua
Fernandina de Jagua was the original colonial name of the Cuban city now known as Cienfuegos, an important port on the island’s southern coast.
-
D.
Guane
Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
-
E.
Guane
Guane is a small, historic village in Colombia’s Santander department, known for its preserved colonial architecture and tranquil rural atmosphere.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f2537881908956a9b0516e2d49 |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0480ee2f081908ed98844784e465c |
completed | April 3, 2026, 11:06 p.m. |
Created at: March 30, 2026, 7:19 p.m.