Triple

T6816108
Position Surface form Disambiguated ID Type / Status
Subject Rose Hawthorne Lathrop E156759 entity
Predicate familyName P18 FINISHED
Object Lathrop E117155 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: Lathrop | Statement: [Rose Hawthorne Lathrop, familyName, Lathrop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lathrop
Context triple: [Rose Hawthorne Lathrop, familyName, Lathrop]
  • A. Lathrop chosen
    Lathrop is a small city in California’s Central Valley known for its location along major transportation corridors and growing residential and industrial development.
  • B. Linwood
    Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
  • C. Linwood
    Linwood is a residential neighborhood located within the city of Milwaukie, Oregon.
  • D. Groveland
    Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
  • E. Gardno
    Gardno is a lake in northern Poland, situated in the Pomeranian Voivodeship near the Baltic Sea coast.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32dc19c8190a871cc1ff1471a58 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e0c62c8190b3b3b092ea48d4c5 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.