Triple

T19031054
Position Surface form Disambiguated ID Type / Status
Subject Market! Market! E465735 entity
Predicate near P350 FINISHED
Object Serendra 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: Serendra | Statement: [Market! Market!, near, Serendra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serendra
Context triple: [Market! Market!, near, Serendra]
  • A. Serendra chosen
    Serendra is a high-end residential and lifestyle complex located within Bonifacio Global City in Taguig, Metro Manila, known for its mid-rise condominiums, landscaped open spaces, and retail areas.
  • B. Torrenova
    Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
  • C. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • D. Arianda
    Arianda is a surname best known through American actress Nina Arianda, acclaimed for her work on stage and screen.
  • E. Caliari
    Caliari is the Italian family name of the Renaissance painter Paolo Veronese and his artistic relatives from Verona.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7404d748190bcb51692fb822fd4 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.