Triple

T10829203
Position Surface form Disambiguated ID Type / Status
Subject Analysis Situs E255571 entity
Predicate hasTitle P38 FINISHED
Object Analysis Situs E255571 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: Analysis Situs | Statement: [Analysis Situs, hasTitle, Analysis Situs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Analysis Situs
Context triple: [Analysis Situs, hasTitle, Analysis Situs]
  • A. Analysis Situs chosen
    Analysis Situs is a foundational early 20th-century textbook on topology by Oswald Veblen that helped formalize and develop the modern theory of topological spaces.
  • B. Artifact Analysis
    Artifact Analysis is a Google Cloud security service that scans container images and other artifacts for vulnerabilities and provides detailed security insights.
  • C. Analyze That
    Analyze That is a 2002 American crime-comedy film and sequel to Analyze This, starring Robert De Niro and Billy Crystal and directed by Harold Ramis.
  • D. Anna site
    Anna site is an archaeological mound complex in Louisiana associated with the Plaquemine culture of the prehistoric Lower Mississippi Valley.
  • E. Sito
    Sito is an epithet of the Greek goddess Demeter that emphasizes her role as the provider of grain and sustenance.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d3eab88190b30a3025b6b2b0bc completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8592d8f08190ac577395ad7cc557 completed April 14, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:19 p.m.