Triple

T3366599
Position Surface form Disambiguated ID Type / Status
Subject Foley Square E70851 entity
Predicate adjacentTo P224 FINISHED
Object Lafayette Street E516913 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: Lafayette Street | Statement: [Foley Square, adjacentTo, Lafayette Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lafayette Street
Context triple: [Foley Square, adjacentTo, Lafayette Street]
  • A. Lafayette Street chosen
    Lafayette Street is a major north–south thoroughfare in Lower Manhattan, New York City, running through neighborhoods such as SoHo and NoHo and known for its historic architecture and commercial activity.
  • B. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • C. Franklin Street
    Franklin Street is the central commercial and cultural corridor of Chapel Hill, North Carolina, known for its shops, restaurants, and proximity to the University of North Carolina campus.
  • D. Franklin Street
    Franklin Street is a major thoroughfare running through Oakland, California, including the heart of the city's Chinatown district.
  • E. Bayard Street
    Bayard Street is a prominent thoroughfare in Manhattan’s Chinatown known for its dense concentration of Chinese restaurants, shops, and cultural landmarks.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb287a30c8190b4c40091675c94fb completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04c81380881908409ff4518140467 completed March 22, 2026, 8:09 p.m.
Created at: March 8, 2026, 3:13 p.m.