Triple

T4891280
Position Surface form Disambiguated ID Type / Status
Subject Montgomery E109567 entity
Predicate hasElectoralWard P962 FINISHED
Object Montgomery ward E44578 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: Montgomery ward | Statement: [Montgomery, hasElectoralWard, Montgomery ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgomery ward
Context triple: [Montgomery, hasElectoralWard, Montgomery ward]
  • A. Montgomery Ward chosen
    Montgomery Ward was a pioneering American mail-order and department store retailer that became one of the largest and most influential retail chains in the United States in the late 19th and 20th centuries.
  • B. Woolworth
    Woolworth is a surname most famously associated with Frank Winfield Woolworth, the American entrepreneur who founded the pioneering F. W. Woolworth retail chain.
  • C. Jordan Marsh
    Jordan Marsh was a prominent New England-based department store chain that operated for over a century before being absorbed into larger retail brands.
  • D. Ohrbach’s department store
    Ohrbach’s department store was a mid-20th-century American discount department store chain known for its fashionable yet affordable clothing and prominent urban locations, including its former flagship in Los Angeles.
  • E. Karstadt
    Karstadt is a major German department store chain known for its wide range of consumer goods and long-standing presence in the country’s retail sector.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2444dc819088d5562e90d16d9b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681a3d7881908120dc642af3f58a completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:28 p.m.