Triple

T6435106
Position Surface form Disambiguated ID Type / Status
Subject Downtown Bellevue E129874 entity
Predicate contains P35 FINISHED
Object Lincoln Square E156857 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: Lincoln Square | Statement: [Downtown Bellevue, contains, Lincoln Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln Square
Context triple: [Downtown Bellevue, contains, Lincoln Square]
  • A. Lincoln Square
    Lincoln Square is a central public square and traffic circle in downtown Hodgenville, Kentucky, featuring monuments that commemorate the birthplace and legacy of President Abraham Lincoln.
  • B. Lincoln Square
    Lincoln Square is a Manhattan neighborhood centered around the Lincoln Center for the Performing Arts, known for its cultural institutions, upscale residences, and proximity to Central Park.
  • C. Lincoln Square chosen
    Lincoln Square is a major mixed-use shopping, dining, and entertainment complex located in downtown Bellevue, Washington.
  • D. Logan Square
    Logan Square is a notable public square and local landmark situated in the Hyde Park neighborhood of Boston, Massachusetts.
  • E. Logan Square
    Logan Square is a vibrant Chicago neighborhood known for its historic boulevards, diverse dining and nightlife, and a mix of classic greystone buildings and newer developments.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069415c3c8190b91bd12ae79edd26 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bbf31bc8190981362639a0e1ce5 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:45 p.m.