Triple
T8875199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisco de Orellana |
E211260
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Orellana |
E211260
|
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: de Orellana | Statement: [Francisco de Orellana, familyName, de Orellana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Orellana Context triple: [Francisco de Orellana, familyName, de Orellana]
-
A.
Francisco de Orellana
chosen
Francisco de Orellana was a 16th-century Spanish explorer and conquistador best known for leading the first known navigation of the entire length of the Amazon River.
-
B.
Puerto Francisco de Orellana
Puerto Francisco de Orellana is a small city in Ecuador’s Amazon region, serving as a key gateway for river transport and rainforest tourism.
-
C.
Álvaro Núñez de Balboa
Álvaro Núñez de Balboa was a Spanish nobleman of the late 15th and early 16th centuries, known primarily as the stepson and namesake of the explorer Vasco Núñez de Balboa.
-
D.
Núñez de Balboa
Núñez de Balboa is a Madrid Metro station located in the Salamanca district, serving as an interchange between lines 5 and 9.
-
E.
Diego de León
Diego de León is a Madrid Metro station and major interchange hub in the Salamanca district of Madrid, Spain.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc614565788190aa14535760df88c8 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfaba6f2f481909a30f71e96bc9079 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:52 p.m.