Triple

T14739099
Position Surface form Disambiguated ID Type / Status
Subject Ciociaria E346295 entity
Predicate hasMajorTown P316 FINISHED
Object Alatri E346293 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: Alatri | Statement: [Ciociaria, hasMajorTown, Alatri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alatri
Context triple: [Ciociaria, hasMajorTown, Alatri]
  • A. Alatri chosen
    Alatri is a historic hill town in Italy’s Lazio region, renowned for its well-preserved ancient polygonal walls and acropolis dating back to the pre-Roman era.
  • B. Arpino
    Arpino is a historic town in central Italy, traditionally known as the birthplace of the Roman statesman Cicero.
  • C. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • 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. Mesagne
    Mesagne is a historic town in Italy’s Apulia region, known for its well-preserved medieval center and strategic location near Brindisi.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b43360481908dc73d5e6758fea6 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:29 a.m.