Triple

T8428338
Position Surface form Disambiguated ID Type / Status
Subject Las Mujeres Ya No Lloran E199056 entity
Predicate hasTrack P3284 FINISHED
Object Nassau E21365 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: Nassau | Statement: [Las Mujeres Ya No Lloran, hasTrack, Nassau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nassau
Context triple: [Las Mujeres Ya No Lloran, hasTrack, Nassau]
  • A. Nassau chosen
    Nassau is the largest city and main commercial and cultural center of the Bahamas, located on New Providence Island.
  • B. Nassau
    Nassau is a historic region in western Germany that gave its name to a prominent European noble house and later influenced the naming of the Bahamas’ capital city.
  • C. Nassau, New York
    Nassau, New York is a small town in eastern New York State known for its rural character and location within Rensselaer County near the Massachusetts border.
  • D. Hamilton, Bermuda
    Hamilton, Bermuda is the capital and primary commercial and administrative center of Bermuda, known for its busy harbor, financial services industry, and role as the territory’s political hub.
  • E. Road Town
    Road Town is the main commercial and administrative center of the British Virgin Islands, located on the island of Tortola in the Caribbean.
  • 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.