Triple

T8858986
Position Surface form Disambiguated ID Type / Status
Subject Praeneste E210835 entity
Predicate laterName P65 FINISHED
Object Colonia Praenestina 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: Colonia Praenestina | Statement: [Praeneste, laterName, Colonia Praenestina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colonia Praenestina
Context triple: [Praeneste, laterName, Colonia Praenestina]
  • 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. Alba Longa
    Alba Longa was an ancient Latin city in central Italy, traditionally regarded as the mother city of Rome and the seat of the Alban kings.
  • C. Tarquinii
    Tarquinii is the ancient Etruscan city in central Italy renowned for its rich archaeological remains and elaborately painted tombs.
  • D. 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.
  • E. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e536648190ba8da1375478c24f completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab8fef348190a25e978085e8e656 completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:50 p.m.