Triple

T2590282
Position Surface form Disambiguated ID Type / Status
Subject Lynn Hill E58104 entity
Predicate familyName P18 FINISHED
Object Hill E119957 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: Hill | Statement: [Lynn Hill, familyName, Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hill
Context triple: [Lynn Hill, familyName, Hill]
  • A. Hill chosen
    Hill is a common English surname of Anglo-Saxon origin, typically referring to someone who lived near or on a hill.
  • B. Mengo Hill
    Mengo Hill is one of the historic hills of Kampala, Uganda, known as a traditional political and cultural center of the Buganda Kingdom.
  • C. Outlook Hill
    Outlook Hill is a man-made elevated viewpoint on Governors Island in New York Harbor, offering panoramic views of the city skyline and surrounding waters.
  • D. White Horse Hill
    White Horse Hill is a prominent chalk hill in Oxfordshire, England, best known for the prehistoric Uffington White Horse hill figure and its surrounding ancient earthworks.
  • E. Ukimerioni Hill
    Ukimerioni Hill is a prominent elevation in Kutaisi, Georgia, known as the historic site overlooking the city where the medieval Bagrati Cathedral stands.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3feb45c81909369a49c3990294a completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af658782f88190a83a4f7256d6a7b2 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.