Triple
T20956494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicanor Parra |
E516114
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Parra |
—
|
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: Parra | Statement: [Nicanor Parra, familyName, Parra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parra Context triple: [Nicanor Parra, familyName, Parra]
-
A.
Parra
chosen
Parra is a village in North Goa, India, known for its scenic coconut-lined roads and traditional Goan charm.
-
B.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
-
C.
Araguaína
Araguaína is a major commercial and economic center in northern Brazil, located in the state of Tocantins.
-
D.
Poza Rica
Poza Rica is an important oil-producing city in the Mexican state of Veracruz, known for its role in the country’s petroleum industry and its proximity to the archaeological site of El Tajín.
-
E.
Cañas
Cañas is a town in Costa Rica’s Guanacaste Province known as a key stop along the Inter-American Highway and a gateway to nearby natural attractions.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6b19048190b266ed24f6fc1a97 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:28 p.m.