Triple

T5675573
Position Surface form Disambiguated ID Type / Status
Subject Financial District E125076 entity
Predicate hasStreet P959 FINISHED
Object Water Street E230825 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: Water Street | Statement: [Financial District, hasStreet, Water Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Water Street
Context triple: [Financial District, hasStreet, Water Street]
  • A. Water Street chosen
    Water Street is a common street name in many cities, typically located close to a waterfront or harbor area and often associated with historic commercial or maritime districts.
  • B. River Street waterfront
    The River Street waterfront is a historic cobblestone riverfront district in Savannah, Georgia, lined with restored warehouses that now house shops, restaurants, bars, and galleries overlooking the Savannah River.
  • C. Baywalk
    Baywalk is a popular seaside promenade along Manila Bay in the Malate district of Manila, known for its sunset views, leisure activities, and entertainment spots.
  • D. Bay Street
    Bay Street is a major thoroughfare in downtown Toronto, widely recognized as the center of Canada's financial industry.
  • E. Bay Street
    Bay Street is a major thoroughfare on Staten Island, New York City, running along the northeastern shore and serving as a key commercial and transportation corridor.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023728f488190a3622844d78caa13 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04db8f1c4819097251039c09c5dda completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:43 p.m.