Triple

T2829856
Position Surface form Disambiguated ID Type / Status
Subject Marche E62209 entity
Predicate containsCity P294 FINISHED
Object Macerata E187057 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: Macerata | Statement: [Marche, containsCity, Macerata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macerata
Context triple: [Marche, containsCity, Macerata]
  • A. Macerata chosen
    Macerata is a historic hilltop city in Italy’s Marche region, known for its Renaissance architecture and renowned open-air opera festival at the Sferisterio arena.
  • B. Civitanova Marche
    Civitanova Marche is a coastal town and popular seaside resort on the Adriatic Sea in the Marche region of central Italy.
  • C. Recanati
    Recanati is an Italian hill town in the Marche region, renowned as the hometown of poet and philosopher Giacomo Leopardi and for its rich literary and cultural heritage.
  • D. 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.
  • E. Terni
    Terni is an industrial city in the Umbria region of central Italy, known for its steel production and historic Roman and medieval heritage.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebbde4881908dfa78e28c7018e0 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b367e000dc8190baba64c6e8ccf308 completed March 13, 2026, 1:26 a.m.
Created at: March 6, 2026, 10:01 p.m.