Triple

T2018902
Position Surface form Disambiguated ID Type / Status
Subject Capua E44058 entity
Predicate nearbySettlement P350 FINISHED
Object Caserta E126810 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: Caserta | Statement: [Capua, nearbySettlement, Caserta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caserta
Context triple: [Capua, nearbySettlement, Caserta]
  • A. Caserta chosen
    Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
  • B. Salerno
    Salerno is a historic port city in southern Italy, known for its strategic role in World War II Allied landings and its position on the Tyrrhenian Sea near the Amalfi Coast.
  • C. Campobasso
    Campobasso is a historic city in southern-central Italy that serves as the capital of the Molise region, known for its medieval castle and traditional craftsmanship.
  • D. Chieti
    Chieti is an ancient city in the Abruzzo region of central Italy, known for its Roman archaeological sites and medieval architecture.
  • E. Foggia
    Foggia is a city in the Apulia region of southern Italy, historically significant as a medieval center and later as an important agricultural and commercial hub.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8cfa5c88190b55bce5db968665b completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d85c2208190bbd612a3ecbbacfd completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:38 p.m.