Triple

T8428094
Position Surface form Disambiguated ID Type / Status
Subject ¿Dónde Están los Ladrones? E199051 entity
Predicate single P3283 FINISHED
Object E731896 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: Tú | Statement: [¿Dónde Están los Ladrones?, single, Tú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tú
Context triple: [¿Dónde Están los Ladrones?, single, Tú]
  • A. chosen
    "Tú" is a popular Spanish-language pop-rock song by Colombian singer Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
  • B.
    Tū is a major Polynesian war and hunting god, particularly revered in Māori tradition as a powerful ancestral figure and guardian of warriors.
  • C. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • D. Tuyo
    "Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
  • E. Ṭūs
    Ṭūs is an ancient city in northeastern Iran, historically significant as a cultural and intellectual center and best known as the birthplace and burial place of the Persian poet Ferdowsi.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd124378c819086ea2fa6ecbfffe1 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d5a671c8190aebbe94e8838cddb completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:07 p.m.