Triple

T14111333
Position Surface form Disambiguated ID Type / Status
Subject New York City neighborhoods E339643 entity
Predicate hasNotableExample P1259 FINISHED
Object Tottenville E146138 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: Tottenville | Statement: [New York City neighborhoods, hasNotableExample, Tottenville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tottenville
Context triple: [New York City neighborhoods, hasNotableExample, Tottenville]
  • A. Tottenville chosen
    Tottenville is a neighborhood at the southern tip of Staten Island in New York City, known for its waterfront location and residential character.
  • B. Treichville
    Treichville is a vibrant, historically significant district of Abidjan in Côte d'Ivoire, known for its bustling markets, nightlife, and cultural life.
  • C. Nouvo Saint-Roch
    Nouvo Saint-Roch is a revitalized urban district in Quebec City known for its blend of historic architecture, tech companies, and vibrant cultural life.
  • D. Mount Pleasant
    Mount Pleasant is a small city in southeastern Iowa known as the county seat of Henry County and home to Iowa Wesleyan University.
  • E. Mount Pleasant
    Mount Pleasant is a suburban town in Westchester County, New York, known for its residential communities and proximity to major reservoirs and parklands.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600e6a688190a1243a30ae9b7157 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf04871c8190891605415f1abf7f completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.