Triple

T17038560
Position Surface form Disambiguated ID Type / Status
Subject Anxur E413383 entity
Predicate laterKnownAs P65 FINISHED
Object Tarracina E339378 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: Tarracina | Statement: [Anxur, laterKnownAs, Tarracina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarracina
Context triple: [Anxur, laterKnownAs, Tarracina]
  • A. Terracina chosen
    Terracina is a historic coastal city in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position on the Tyrrhenian Sea.
  • B. Minturno
    Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
  • C. Velletri
    Velletri is a historic town in the Lazio region of central Italy, known for its ancient Roman roots, wine production, and location in the Alban Hills southeast of Rome.
  • D. Arpino
    Arpino is a historic town in central Italy, traditionally known as the birthplace of the Roman statesman Cicero.
  • E. Pisae
    Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f45f84819092cfb27cc33da026 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148222034819089474594ee351b05 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:33 a.m.