Triple
T8428350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Mujeres Ya No Lloran |
E199056
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | TQG (English version) |
E199063
|
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: TQG (English version) | Statement: [Las Mujeres Ya No Lloran, hasTrack, TQG (English version)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TQG (English version) Context triple: [Las Mujeres Ya No Lloran, hasTrack, TQG (English version)]
-
A.
TQG
chosen
"TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
-
B.
TKQ
TKQ is the IATA airport code for Kigoma Airport in western Tanzania, serving the town of Kigoma on Lake Tanganyika.
-
C.
TJVQ
TJVQ is the ICAO airport code for Antonio Rivera Rodríguez Airport, a public airport serving the island of Vieques in Puerto Rico.
-
D.
TGR
TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
-
E.
TGO
TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
- 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_69ce0376b4708190b2d118bcdf1a00fc |
completed | April 2, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:07 p.m.