Triple

T9221608
Position Surface form Disambiguated ID Type / Status
Subject Battery Place E221372 entity
Predicate near P350 FINISHED
Object Castle Clinton E221371 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: Castle Clinton | Statement: [Battery Place, near, Castle Clinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Clinton
Context triple: [Battery Place, near, Castle Clinton]
  • A. Castle Clinton chosen
    Castle Clinton is a historic fort and former immigration station in Lower Manhattan, now serving as a national monument and visitor center.
  • B. Washington Hall
    Washington Hall is a historic campus building at the University of Notre Dame, known for hosting student performances, lectures, and cultural events.
  • C. Washington Hall
    Washington Hall is a prominent historic building at the United States Military Academy at West Point, serving as a central facility for cadet dining and ceremonial functions.
  • D. Fort Point
    Fort Point is a prominent headland in Gloucester, Massachusetts, that helps form the entrance to Gloucester Harbor and has historically hosted defensive and navigational structures.
  • E. Beekman Tower
    Beekman Tower is a striking, undulating residential skyscraper in Lower Manhattan designed by architect Frank Gehry.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda76e3648190af9e24381db7679a completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d066384a908190b833d4ae5b3c5074 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:28 p.m.