Triple

T9957222
Position Surface form Disambiguated ID Type / Status
Subject Old Latium E195473 entity
Predicate majorCity P316 FINISHED
Object Praeneste E210835 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: Praeneste | Statement: [Old Latium, majorCity, Praeneste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praeneste
Context triple: [Old Latium, majorCity, Praeneste]
  • A. Praeneste chosen
    Praeneste was an ancient Italian city in Latium, famed for its monumental sanctuary of Fortuna Primigenia and its strategic position overlooking the Roman Campagna.
  • B. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • C. Terracina
    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.
  • D. Tarquinii
    Tarquinii is the ancient Etruscan city in central Italy renowned for its rich archaeological remains and elaborately painted tombs.
  • E. Ferentinum
    Ferentinum was an ancient town in central Italy historically associated with the Hernici people and later integrated into the Roman sphere.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6cceb608190ad4424afaddcabfa completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d299e3d5fc8190a953be3ebd8250e6 completed April 5, 2026, 5:20 p.m.
Created at: March 30, 2026, 8:46 p.m.