Triple

T700145
Position Surface form Disambiguated ID Type / Status
Subject South Picene E13980 entity
Predicate region P40 FINISHED
Object Abruzzo E69244 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: Abruzzo | Statement: [South Picene, region, Abruzzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abruzzo
Context triple: [South Picene, region, Abruzzo]
  • A. Abruzzo chosen
    Abruzzo is a central Italian region known for its rugged Apennine mountains, national parks, and Adriatic Sea coastline.
  • B. Molise
    Molise is a small, predominantly rural region in southern Italy known for its mountainous landscapes, traditional agriculture, and relatively low population density.
  • C. Umbria
    Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
  • D. Emilia-Romagna
    Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
  • E. Friuli Venezia Giulia
    Friuli Venezia Giulia is an autonomous region in northeastern Italy known for its cultural diversity, Alpine and Adriatic landscapes, and strategic position bordering Austria and Slovenia.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a52fdb888190ad0e48fb3cf4dc3d completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826c4a35081909903e42dfa56d582 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:36 p.m.