Triple

T22295675
Position Surface form Disambiguated ID Type / Status
Subject Tronto River E551112 entity
Predicate hasMouthNear P350 FINISHED
Object Porto d'Ascoli 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: Porto d'Ascoli | Statement: [Tronto River, hasMouthNear, Porto d'Ascoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto d'Ascoli
Context triple: [Tronto River, hasMouthNear, Porto d'Ascoli]
  • A. Porto d’Ascoli chosen
    Porto d’Ascoli is a coastal district of San Benedetto del Tronto in Italy’s Marche region, known as a seaside resort and transport hub on the Adriatic coast.
  • B. Pescia
    Pescia is a historic Tuscan town in central Italy known for its paper production, floriculture, and medieval architecture.
  • C. Sarzana
    Sarzana is a historic town in the Liguria region of northwestern Italy, known for its medieval fortifications and strategic position near the border with Tuscany.
  • D. Acquaviva Picena
    Acquaviva Picena is a small historic hilltop town in Italy’s Marche region, known for its medieval fortress and views over the surrounding Piceno countryside.
  • E. Port of Ancona
    The Port of Ancona is a major Adriatic seaport in central Italy, serving as an important hub for passenger ferries, commercial shipping, and maritime trade between Italy and Eastern Europe.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1571fe76c8190a40b3679802a5475 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.