Triple

T1317463
Position Surface form Disambiguated ID Type / Status
Subject Tuscans E28137 entity
Predicate historicalLanguageCenter P26947 FINISHED
Object Florence E26762 NE FINISHED

How this triple was built (3 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: Florence | Statement: [Tuscans, historicalLanguageCenter, Florence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence
Context triple: [Tuscans, historicalLanguageCenter, Florence]
  • A. Florence
    Florence is a city in northwestern Alabama known as part of the Muscle Shoals metropolitan area and for its rich musical and cultural heritage.
  • B. Florence
    Florence is the birth name of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics brand.
  • C. Florence chosen
    Florence is a historic Italian city renowned as the cradle of the Renaissance, celebrated for its art, architecture, and cultural influence.
  • D. Florence
    Florence is a small coastal city in western Oregon known for its scenic beaches, sand dunes, and historic Old Town along the Siuslaw River.
  • E. Pisa
    Pisa is a historic Italian city in Tuscany best known for its iconic Leaning Tower and as a significant center of medieval trade, learning, and architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalLanguageCenter
Context triple: [Tuscans, historicalLanguageCenter, Florence]
  • A. historicalLanguage
    Indicates that one language is a historical or earlier form/ancestor of another language.
  • B. historicalLanguageGroup
    Indicates that two or more entities belong to the same historically defined language group or family, based on shared linguistic ancestry or development.
  • C. historicalLanguageStatus
    Indicates that a language had a particular official, social, or functional status during a past historical period.
  • D. historicalLinguistics
    Indicates the study of how languages change over time and the relationships between earlier and later language forms.
  • E. historicallySpokenIn
    Indicates that a language was used for spoken communication in a particular place or region during a past historical period.
  • F. None of above. chosen

Provenance (5 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c176c89881909e9dc0e34f12f056 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb8a58ec81908b2bb5c27283bafa completed March 8, 2026, 10:43 p.m.
PD Predicate disambiguation batch_69a4beebcb348190964bd7215811942c completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4bfc2134c81909cbaaa151d96e9a8 completed March 1, 2026, 10:37 p.m.
Created at: March 1, 2026, 7:55 p.m.