Triple
T15430523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letizia |
E369625
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Letizia (Spanish variant Leticia) |
E307981
|
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: Letizia (Spanish variant Leticia) | Statement: [Letizia, hasVariant, Letizia (Spanish variant Leticia)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letizia (Spanish variant Leticia) Context triple: [Letizia, hasVariant, Letizia (Spanish variant Leticia)]
-
A.
Leticia
chosen
Leticia is a remote Colombian city on the Amazon River, known as a key gateway to the Amazon rainforest and a tri-border point with Brazil and Peru.
-
B.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
-
C.
Zamboanguita
Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
-
D.
Loiceño
Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
-
E.
Barreto
Barreto is a Portuguese-origin surname common in Brazil and other Lusophone countries, borne by numerous notable figures in fields such as film, literature, and politics.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ed8ea888190bff8dc14859cca31 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a827d9081909fabc48bc685ba5b |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:21 a.m.