Triple

T7443487
Position Surface form Disambiguated ID Type / Status
Subject Axis defenses in Italy E171811 entity
Predicate hasPart P35 FINISHED
Object Barbara Line E664725 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: Barbara Line | Statement: [Axis defenses in Italy, hasPart, Barbara Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbara Line
Context triple: [Axis defenses in Italy, hasPart, Barbara Line]
  • A. Paula Line chosen
    The Paula Line was a German defensive fortification system in northern Italy during World War II, designed to slow the Allied advance after the fall of the Gothic Line.
  • B. Barbara Lane
    Barbara Lane is a costume designer best known for her work on the comedy film "King Ralph."
  • C. Barbara Ruick
    Barbara Ruick was an American actress and singer known for her film and television roles in the 1950s and 1960s.
  • D. Barbara Brengbier
    Barbara Brengbier was the wife of the renowned German Renaissance painter and printmaker Lucas Cranach the Elder.
  • E. Barbara Pierce
    Barbara Pierce was the birth name of Barbara Bush, who became First Lady of the United States as the wife of President George H. W. Bush and was known for her advocacy of family literacy.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36d0fbc81908cb7cfe99f80de08 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83451fcfc8190b32840c3c3448962 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:13 p.m.