Triple

T2096797
Position Surface form Disambiguated ID Type / Status
Subject IND Crosstown Line E36999 entity
Predicate hasTerminal P182 FINISHED
Object Court Square E142777 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: Court Square | Statement: [IND Crosstown Line, hasTerminal, Court Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Court Square
Context triple: [IND Crosstown Line, hasTerminal, Court Square]
  • A. Court Square chosen
    Court Square is a New York City Subway complex in Long Island City, Queens, serving as a key transfer point between multiple subway lines.
  • B. Courthouse Square
    Courthouse Square is a central public plaza and community gathering space in downtown Redwood City, California, known for hosting events, concerts, and civic activities.
  • C. Clinton Square
    Clinton Square is a historic public plaza and gathering space in downtown Syracuse, New York, known for its canal-era heritage, seasonal ice rink, and community events.
  • D. Sullivan Square
    Sullivan Square is a neighborhood in the Charlestown area of Boston, Massachusetts, known historically as a major transportation hub and gateway to the city.
  • E. Cathedral Square
    Cathedral Square is the central historic plaza within the Moscow Kremlin, surrounded by several major cathedrals and palaces and long used for important state and religious ceremonies.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9cb84481909fe0a66c020b8864 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae518d29d4819090aa2a1c6fc7304d completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.