Triple

T16914608
Position Surface form Disambiguated ID Type / Status
Subject Etruscan League E410289 entity
Predicate member P10 FINISHED
Object Tarquinia E92615 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: Tarquinia | Statement: [Etruscan League, member, Tarquinia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarquinia
Context triple: [Etruscan League, member, Tarquinia]
  • A. Tarquinia chosen
    Tarquinia is an ancient Etruscan city in central Italy renowned for its richly painted tombs and significant archaeological remains.
  • B. Cerveteri
    Cerveteri is an ancient Italian town best known as a powerful Etruscan city-state and for its extensive necropolis of rock-cut tombs.
  • C. Sontra
    Sontra is a small town in the Werra-Meißner district of northeastern Hesse, Germany, known for its rural setting and proximity to the Richelsdorf Hills.
  • D. Gibellina
    Gibellina is a Sicilian town renowned for its post-earthquake reconstruction as an open-air museum of contemporary art and avant-garde urban design.
  • E. Pescia Romana
    Pescia Romana is a coastal village in the Lazio region of central Italy, known for its agricultural production and beaches along the Tyrrhenian Sea.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3f1a2c8190a512ccc09a080eb4 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7be679c8190b9d0b0b9cfe185d3 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.