Triple
T14679113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caridad del Río Hernández |
E344729
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | del Río |
E909099
|
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: del Río | Statement: [Caridad del Río Hernández, familyName, del Río]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: del Río Context triple: [Caridad del Río Hernández, familyName, del Río]
-
A.
del Río
chosen
del Río is a Spanish-language surname notably borne by former Mexican president Lázaro Cárdenas del Río.
-
B.
Del Arroyo
Del Arroyo is a variant form of the name "Arroyo," typically used as a surname or place name in Spanish-speaking contexts.
-
C.
Diéguez
Diéguez is a Spanish-language surname of Galician origin borne by various notable individuals, including figures in the arts and public life.
-
D.
Del Rio
Del Rio is a border city in southwestern Texas known for its proximity to the Rio Grande and Laughlin Air Force Base.
-
E.
Quesada
Quesada is a town in the province of Jaén in southern Spain, known for its scenic setting near the Sierra de Cazorla mountain range and its olive-growing landscape.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde180ff0c8190a8b7c7804e36c3f8 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.