Triple

T10962546
Position Surface form Disambiguated ID Type / Status
Subject Amalfi E259010 entity
Predicate nearbyLocality P4647 FINISHED
Object Maiori E385221 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: Maiori | Statement: [Amalfi, nearbyLocality, Maiori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maiori
Context triple: [Amalfi, nearbyLocality, Maiori]
  • A. Maiori chosen
    Maiori is a seaside town on Italy’s Amalfi Coast known for its long sandy beach and historic coastal architecture.
  • B. Miglieglia
    Miglieglia is a small municipality in the canton of Ticino in southern Switzerland, located in the Malcantone region near the Italian border.
  • C. Marettimo
    Marettimo is a rugged, sparsely populated Italian island in the Mediterranean Sea, known for its pristine waters, marine caves, and unspoiled natural landscapes.
  • D. Veroli
    Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
  • E. Vannino
    Vannino is an Italian diminutive given name derived from Giovanni, commonly used as an affectionate or familiar form.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7714714c88190926ebd48b09150c6 completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d761d3c48190af8e0aedf96ee99f completed April 18, 2026, 12:59 a.m.
Created at: April 8, 2026, 9:23 p.m.