Triple

T9238633
Position Surface form Disambiguated ID Type / Status
Subject The Cenci E221998 entity
Predicate firstPublicationCity P13815 FINISHED
Object Livorno E67624 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: Livorno | Statement: [The Cenci, firstPublicationCity, Livorno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livorno
Context triple: [The Cenci, firstPublicationCity, Livorno]
  • A. Livorno chosen
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • B. La Spezia
    La Spezia is a port city in northwestern Italy known as a major naval base and gateway to the Cinque Terre on the Ligurian coast.
  • C. Savona
    Savona is a coastal city and port in the Liguria region of northwestern Italy, known historically as a strategic maritime center on the Italian Riviera.
  • D. Viareggio
    Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
  • E. Civitavecchia
    Civitavecchia is a major Italian port city in the Lazio region that serves as the principal maritime gateway to Rome on the Tyrrhenian coast.
  • 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: firstPublicationCity
Context triple: [The Cenci, firstPublicationCity, Livorno]
  • A. placeOfFirstPublication chosen
    Indicates the location where a work was first published or made publicly available.
  • B. firstPublisher
    Indicates that an entity is the original or earliest publisher of another entity (such as a work, edition, or resource).
  • C. firstCompleteEditionPlace
    Indicates the place where the first complete edition of a work was published or produced.
  • D. firstPublicationIn
    Indicates the initial venue, medium, or context in which a work was first published.
  • E. cityOfOriginal
    Indicates the city from which something or someone originally comes or was first created or established.
  • F. None of above.

Provenance (4 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09f9e908190801fe114c5e63984 completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c72be25c8190931204b21966502e completed April 4, 2026, 8:09 a.m.
PD Predicate disambiguation batch_69cc7a4765648190aa9445c4a22dc471 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:30 p.m.