Triple

T18087362
Position Surface form Disambiguated ID Type / Status
Subject Journal Square E432869 entity
Predicate near P350 FINISHED
Object India Square NE NERFINISHED

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: India Square | Statement: [Journal Square, near, India Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India Square
Context triple: [Journal Square, near, India Square]
  • A. India Square chosen
    India Square is a vibrant South Asian commercial and cultural enclave in Jersey City, New Jersey, known for its dense concentration of Indian restaurants, shops, and community events.
  • B. Tappan Square
    Tappan Square is a central historic green space and gathering area in Oberlin, Ohio, closely associated with Oberlin College and community events.
  • C. Johnson Square
    Johnson Square is a historic public square in Savannah, Georgia, known for its central location in the city’s original town plan and its prominent monuments and green space.
  • D. 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.
  • E. World Square
    World Square is a themed area within the Window of the World park in Shenzhen, China, featuring iconic global landmarks and cultural displays in miniature form.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd16234c8190b547e893a829d6c5 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.