Triple
T5179102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echeverría |
E116872
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Echevarría |
E116872
|
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: Echevarría | Statement: [Echeverría, hasVariantSpelling, Echevarría]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Echevarría Context triple: [Echeverría, hasVariantSpelling, Echevarría]
-
A.
Echeverría
chosen
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
-
B.
Echeandía
Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
-
C.
Herrero
Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
-
D.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
E.
Esquivel
Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79978a208190b2e5909795108327 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21a42d208190832d00fb62ad683e |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:45 p.m.