Triple

T8665670
Position Surface form Disambiguated ID Type / Status
Subject San Benedetto del Tronto E205665 entity
Predicate borderedBy P224 FINISHED
Object Martinsicuro
Martinsicuro is a coastal town in the Abruzzo region of Italy, known for its Adriatic beaches and tourism.
 E749362 NE FINISHED

How this triple was built (4 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: Martinsicuro | Statement: [San Benedetto del Tronto, borderedBy, Martinsicuro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Martinsicuro
Context triple: [San Benedetto del Tronto, borderedBy, Martinsicuro]
  • A. Montagnana
    Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
  • B. Garaventa
    Garaventa is a brand of the Doppelmayr Garaventa Group known for manufacturing ropeways and cable transport systems such as gondolas, chairlifts, and funiculars.
  • C. Maruggio
    Maruggio is a small historic town and coastal municipality in the Apulia region of southern Italy, known for its traditional architecture and proximity to the Ionian Sea.
  • D. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • E. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Martinsicuro
Triple: [San Benedetto del Tronto, borderedBy, Martinsicuro]
Generated description
Martinsicuro is a coastal town in the Abruzzo region of Italy, known for its Adriatic beaches and tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Martinsicuro
Target entity description: Martinsicuro is a coastal town in the Abruzzo region of Italy, known for its Adriatic beaches and tourism.
  • A. Montagnana
    Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
  • B. Garaventa
    Garaventa is a brand of the Doppelmayr Garaventa Group known for manufacturing ropeways and cable transport systems such as gondolas, chairlifts, and funiculars.
  • C. Maruggio
    Maruggio is a small historic town and coastal municipality in the Apulia region of southern Italy, known for its traditional architecture and proximity to the Ionian Sea.
  • D. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • E. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • F. None of above. chosen

Provenance (5 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a1dd1481908c56abca48fcd562 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd1592788190a882fb7218f95807 completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8e5afc8190912b6eb9c80dd073 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf8ee4f48190bb901e35ade91b6c completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:31 p.m.