Triple
T8463586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balcarce 50 |
E200102
|
entity |
| Predicate | nearStreet |
P8235
|
FINISHED |
| Object | Rivadavia |
E709392
|
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: Rivadavia | Statement: [Balcarce 50, nearStreet, Rivadavia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rivadavia Context triple: [Balcarce 50, nearStreet, Rivadavia]
-
A.
Rivadavia
chosen
Rivadavia is a Spanish-language surname most notably associated with Argentine statesman and first president Bernardino Rivadavia.
-
B.
Ellacuría
Ellacuría is a Basque-origin surname most notably associated with Ignacio Ellacuría, a Spanish-Salvadoran Jesuit priest, philosopher, and prominent liberation theologian.
-
C.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
-
D.
Sarmiento
Sarmiento is a small town in southern Argentina known for its paleontological sites and proximity to the Patagonian steppe landscapes.
-
E.
Arturo Prat Chacón
Arturo Prat Chacón was a Chilean naval officer and national hero renowned for his leadership and death in the Battle of Iquique during the War of the Pacific.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4a39bd48190b72be7e03cff323b |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39d5f50081908e273d5286a0d397 |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:10 p.m.