Triple
T12220821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loiceño |
E291209
|
entity |
| Predicate | pluralForm |
P5088
|
FINISHED |
| Object | Loiceños |
E291209
|
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: Loiceños | Statement: [Loiceño, pluralForm, Loiceños]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loiceños Context triple: [Loiceño, pluralForm, Loiceños]
-
A.
Loiceño
chosen
Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
-
B.
Blanquillos
Blanquillos is a popular nickname for the Spanish football club Real Zaragoza, referring to the team’s traditional white kit.
-
C.
Ilicitanos
Ilicitanos are the inhabitants or natives of Elche (Elx), a historic city in the province of Alicante in Spain’s Valencian Community.
-
D.
Tusa
Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
-
E.
Tusa
"Tusa" is a globally popular reggaeton and Latin pop song by Colombian singer Karol G featuring Nicki Minaj, known for its catchy melody and themes of heartbreak and empowerment.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c961d648190ad6ce5f7d228eee4 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa4f4388190a787dde12190c51a |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.