Triple
T22823155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calle 13 |
E565278
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | La Perla |
—
|
NE NERFINISHED |
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: La Perla | Statement: [Calle 13, notableSong, La Perla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Perla Context triple: [Calle 13, notableSong, La Perla]
-
A.
La Perla
La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
-
B.
La Perla
chosen
"La Perla" is a socially charged reggaeton and hip-hop song by Puerto Rican duo Calle 13 that highlights the struggles and resilience of residents in the historic San Juan neighborhood of the same name.
-
C.
La Perla
La Perla is a coastal urban district within the Lima metropolitan area of Peru, known for its dense residential neighborhoods and proximity to the Pacific Ocean.
-
D.
Perla
Perla is a Mexican telenovela best known for starring actress Silvia Navarro in one of her early prominent roles.
-
E.
Perola
Perola is a locality or administrative subdivision within the municipality of Albino in northern Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd2005081909baef070124eb839 |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:34 p.m.