Triple

T5315629
Position Surface form Disambiguated ID Type / Status
Subject Castle Island E119139 entity
Predicate near P350 FINISHED
Object South Boston beaches E164928 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: South Boston beaches | Statement: [Castle Island, near, South Boston beaches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Boston beaches
Context triple: [Castle Island, near, South Boston beaches]
  • A. Boston Beach
    Boston Beach is a popular public beach in Portland Parish, Jamaica, known for its surf-friendly waves and nearby jerk pork stands.
  • B. Boston waterfront
    The Boston waterfront is a revitalized coastal district featuring historic harbor sites, cultural attractions, parks, and dining along Boston Harbor.
  • C. Langdon Beach
    Langdon Beach is a small public lakeshore beach on Lake Michigan located in the North Shore suburb of Wilmette, Illinois.
  • D. Narragansett Town Beach
    Narragansett Town Beach is a popular public oceanfront beach in the town of Narragansett, Rhode Island, known for its surfing waves, scenic shoreline, and summer recreation.
  • E. South Boston chosen
    South Boston is a densely populated waterfront neighborhood of Boston, Massachusetts, known for its strong Irish-American heritage and rapidly gentrifying urban landscape.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854eb3248190b42a4b52f1c81bef completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf110e89548190a5eb0bad6ab0483b completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:54 p.m.