Triple

T4966076
Position Surface form Disambiguated ID Type / Status
Subject Montrose Crossing E111528 entity
Predicate hasTenant P3277 FINISHED
Object Micro Center E483145 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: Micro Center | Statement: [Montrose Crossing, hasTenant, Micro Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micro Center
Context triple: [Montrose Crossing, hasTenant, Micro Center]
  • A. Micro Center chosen
    Micro Center is a U.S.-based retail chain specializing in computers, consumer electronics, and related accessories.
  • B. Best Buy
    Best Buy is a major American consumer electronics retail chain known for selling computers, appliances, and entertainment products through large-format stores and online.
  • C. Electronics City
    Electronics City is a major technology and industrial hub in Bengaluru, India, known for housing numerous IT companies and electronics manufacturing units.
  • D. MacWarehouse
    MacWarehouse was a mail-order and online retailer specializing in Apple Macintosh computers and related products, co-founded by entrepreneur Marc Randolph before he went on to start Netflix.
  • E. Macroplaza
    Macroplaza is a vast central square and civic complex in downtown Monterrey, Mexico, known for its monuments, gardens, and surrounding government and cultural buildings.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f7ae388190b752770bf577906f completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89fa42a081909055b6c30505e6b2 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:32 p.m.