Triple

T22010177
Position Surface form Disambiguated ID Type / Status
Subject ITCST E543553 entity
Predicate appliesTo P1129 FINISHED
Object city of Caserta NE NERFINISHED

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: city of Caserta | Statement: [ITCST, appliesTo, city of Caserta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Caserta
Context triple: [ITCST, appliesTo, city of 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. Casertana
    Casertana is an Italian football club based in Caserta, known for its passionate local following and regional rivalries in the lower professional tiers of Italian football.
  • C. Campagnano di Roma
    Campagnano di Roma is a historic town in the Lazio region of central Italy, situated in the countryside north of Rome and known for its medieval center and surrounding natural landscapes.
  • D. Pollica
    Pollica is a small coastal town in Italy’s Campania region, known for its traditional Mediterranean lifestyle and cuisine.
  • E. Aversa
    Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a4338c8190836074d21bfbaf78 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.