Triple

T7752518
Position Surface form Disambiguated ID Type / Status
Subject Alexander Patch E175801 entity
Predicate hasFamilyName P18 FINISHED
Object Patch E175801 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: Patch | Statement: [Alexander Patch, hasFamilyName, Patch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patch
Context triple: [Alexander Patch, hasFamilyName, Patch]
  • A. Patch chosen
    Patch is a surname most notably associated with Alexander Patch, a senior U.S. Army general who played a key role in World War II operations in Europe.
  • B. Patching
    Patching is a small rural village and civil parish in West Sussex, England, situated within the South Downs and known for its scenic countryside and historic church.
  • C. Patch Bks
    Patch Bks is a U.S. Army installation in Stuttgart, Germany, serving as a key base for American military and support personnel in the region.
  • D. Patch Barracks
    Patch Barracks is a U.S. military installation in Stuttgart, Germany, best known as the main base of operations for United States European Command (EUCOM).
  • E. PatchWall
    PatchWall is Xiaomi’s content-centric smart TV interface that aggregates and recommends streaming and broadcast content in a unified, personalized home screen.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b382588190ad8dc7138987829a completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be5a649c81909c94d629348b34fc completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.