Triple

T16168832
Position Surface form Disambiguated ID Type / Status
Subject San Juan Heights E392379 entity
Predicate hasPart P35 FINISHED
Object Kettle Hill E392378 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: Kettle Hill | Statement: [San Juan Heights, hasPart, Kettle Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kettle Hill
Context triple: [San Juan Heights, hasPart, Kettle Hill]
  • A. Kettle Hill chosen
    Kettle Hill is a notable battlefield in Cuba where U.S. forces, including Theodore Roosevelt’s Rough Riders, fought during the Spanish–American War.
  • B. Grenadier Hill
    Grenadier Hill is a strategically important elevation in Estonia that served as a key defensive position during the World War II Battle of Tannenberg Line.
  • C. Battle Hill
    Battle Hill is the highest natural point in Brooklyn, New York, and a historic Revolutionary War site located within Green-Wood Cemetery.
  • D. Battle Hill
    Battle Hill is a residential area and ward within the metropolitan borough of North Tyneside in Tyne and Wear, England.
  • E. Cemetery Hill
    Cemetery Hill is a prominent, strategically important rise of ground that formed a key Union defensive position during the Battle of Gettysburg in the American Civil War.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb5e6d881908749683091afa90c completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bb6aac8190a33607abfe9a32d0 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.