Triple

T9454346
Position Surface form Disambiguated ID Type / Status
Subject NY 59 E227976 entity
Predicate connectsTo P845 FINISHED
Object NY 45 E227977 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: NY 45 | Statement: [NY 59, connectsTo, NY 45]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NY 45
Context triple: [NY 59, connectsTo, NY 45]
  • A. NY 45 chosen
    NY 45 is a north–south state highway in Rockland County, New York, connecting several local communities and intersecting major regional routes.
  • B. NY 55
    NY 55 is a state highway in New York that runs east–west across the southern part of the state, connecting rural communities and small towns in the Catskills and Hudson Valley.
  • C. NY 3
    NY 3 is a state highway in northern New York that runs east–west between the Adirondack Mountains and the Lake Ontario shoreline.
  • D. NY 2
    NY 2 is a state highway in New York that runs through the Capital District, connecting the city of Troy to the Massachusetts state line.
  • E. NY 30
    NY 30 is a north–south state highway in New York that runs through the Adirondack Mountains and Mohawk Valley, connecting rural communities across the eastern-central part of the state.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f8c7b3481909c1182b41d8c27a9 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1227b4fc881908c03409f78de1a87 completed April 4, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:52 p.m.