Triple

T11739224
Position Surface form Disambiguated ID Type / Status
Subject Athens metropolitan area E279108 entity
Predicate hasPart P35 FINISHED
Object Petroupoli E282710 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: Petroupoli | Statement: [Athens metropolitan area, hasPart, Petroupoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petroupoli
Context triple: [Athens metropolitan area, hasPart, Petroupoli]
  • A. Petroupoli chosen
    Petroupoli is a suburban municipality in the northwestern part of the Athens metropolitan area in Greece.
  • B. Agropoli
    Agropoli is a coastal town in southern Italy known for its historic hilltop center, medieval castle, and beaches along the Cilento coast.
  • C. Scanno
    Scanno is a picturesque medieval village in Italy’s Abruzzo region, renowned for its mountain lake, traditional architecture, and historic goldsmithing and lace-making crafts.
  • D. Pollica
    Pollica is a small coastal town in Italy’s Campania region, known for its traditional Mediterranean lifestyle and cuisine.
  • E. Melfi
    Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4ef1c4881909ad36dc27b1fe193 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019c339cc81909967ecfa234e4ab8 completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:41 p.m.