Triple

T12002654
Position Surface form Disambiguated ID Type / Status
Subject La Gran Plaza E285703 entity
Predicate alsoKnownAs P39 FINISHED
Object Macroplaza E47308 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: Macroplaza | Statement: [La Gran Plaza, alsoKnownAs, Macroplaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macroplaza
Context triple: [La Gran Plaza, alsoKnownAs, Macroplaza]
  • A. Macroplaza chosen
    Macroplaza is a vast central square and civic complex in downtown Monterrey, Mexico, known for its monuments, gardens, and surrounding government and cultural buildings.
  • B. Sky Mart
    Sky Mart is an elevated sidewalk and pedestrian walkway system in downtown Morristown, Tennessee, that connects buildings above street level.
  • C. SM Supermalls
    SM Supermalls is a major Philippine shopping mall chain owned by SM Prime Holdings, known for operating some of the largest and most popular malls in the country and across Asia.
  • D. Dragon Mart
    Dragon Mart is a massive Chinese-themed retail and trading complex in Dubai, known as one of the largest hubs for Chinese products outside mainland China.
  • E. Total Plaza
    Total Plaza is a prominent office skyscraper in downtown Houston, Texas, serving as a major commercial hub in the city's central business district.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ae4733c81909956cc8d6bae343a completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.