Triple

T1202815
Position Surface form Disambiguated ID Type / Status
Subject Cambridge city center E25820 entity
Predicate hasPart P35 FINISHED
Object Central Square E5451 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: Central Square | Statement: [Cambridge city center, hasPart, Central Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Square
Context triple: [Cambridge city center, hasPart, Central Square]
  • A. Central Square chosen
    Central Square is a vibrant commercial and cultural district in Cambridge, Massachusetts, known for its diverse restaurants, nightlife, music venues, and arts scene.
  • B. Herald Square
    Herald Square is a bustling commercial and transportation hub in Midtown Manhattan, best known for its flagship Macy’s department store and as a focal point of New York City’s retail and holiday festivities.
  • C. Court Square
    Court Square is a New York City Subway complex in Long Island City, Queens, serving as a key transfer point between multiple subway lines.
  • D. Watertown Square
    Watertown Square is a major transit and commercial hub in Watertown, Massachusetts, functioning as a key connection point for multiple MBTA bus routes and local activity.
  • E. Broad Street Mall
    Broad Street Mall is a major indoor shopping centre in Reading, England, featuring a range of retail stores, services, and eateries.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdbda0b081909c0147121a945e27 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2e7d28c8190acf5ae2237e6d4e0 completed March 7, 2026, 10:12 p.m.
Created at: March 1, 2026, 7:46 p.m.