Triple

T8405393
Position Surface form Disambiguated ID Type / Status
Subject Greenridge E198483 entity
Predicate borderedBy P224 FINISHED
Object Great Kills E146141 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: Great Kills | Statement: [Greenridge, borderedBy, Great Kills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Kills
Context triple: [Greenridge, borderedBy, Great Kills]
  • A. Great Kills chosen
    Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
  • B. Killers
    Killers is Iron Maiden’s second studio album, known for its raw, aggressive sound and for solidifying the band’s early heavy metal style.
  • C. Shoot to Kill
    Shoot to Kill is a 1988 American thriller film about an FBI agent and a mountain guide tracking a murderous criminal through the wilderness.
  • D. Murder City
    "Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
  • E. Killing Times
    The Killing Times were a period of brutal persecution and summary executions of Scottish Covenanters in the late 17th century under the Stuart monarchy.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8312941c8190af0b2def0a4e02be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02f8596c8190a61b6f1ffd5a609c completed April 2, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:05 p.m.