Triple

T14739105
Position Surface form Disambiguated ID Type / Status
Subject Ciociaria E346295 entity
Predicate hasMajorTown P316 FINISHED
Object Ceccano E348407 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: Ceccano | Statement: [Ciociaria, hasMajorTown, Ceccano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ceccano
Context triple: [Ciociaria, hasMajorTown, Ceccano]
  • A. Ceccano chosen
    Ceccano is a historic town and comune in the Lazio region of central Italy, situated in the Province of Frosinone along the Sacco River.
  • B. Capoterra
    Capoterra is a town and municipality in southern Sardinia, Italy, situated near the city of Cagliari and known for its coastal and hilly landscapes.
  • C. Putignano
    Putignano is a historic town in southern Italy’s Apulia region, best known for hosting one of Europe’s oldest and longest-running Carnival celebrations.
  • D. Montecastrilli
    Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
  • E. Itri
    Itri is a historic hill town in the Lazio region of central Italy, known for its medieval castle, olive oil production, and location between Rome and Naples.
  • 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_6a0007757ed48190813f6ab839240a15 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:29 a.m.