Triple

T7395562
Position Surface form Disambiguated ID Type / Status
Subject Battle of Caldiero (1805) E170612 entity
Predicate location P40 FINISHED
Object Caldiero
Caldiero is a town in the Veneto region of northern Italy, historically notable as the site of several Napoleonic-era battles.
E665383 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: Caldiero | Statement: [Battle of Caldiero (1805), location, Caldiero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caldiero
Context triple: [Battle of Caldiero (1805), location, Caldiero]
  • A. Caldogno
    Caldogno is a small town in the Veneto region of northern Italy, best known as the birthplace of legendary footballer Roberto Baggio.
  • B. Tarvisio
    Tarvisio is a northeastern Italian town in Friuli Venezia Giulia, known as a mountain resort and transport hub near the borders with Austria and Slovenia in the Julian Alps.
  • C. Legnago
    Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
  • D. Bolzano
    Bolzano was an Italian Zara-class heavy cruiser of the Regia Marina that served during World War II in the Mediterranean Sea.
  • E. Bolzano
    Bolzano is a bilingual Italian city in the South Tyrol region, known for its Alpine setting, mix of Italian and Austrian cultures, and as the home of the famous Ötzi the Iceman museum.
  • 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: Caldiero
Triple: [Battle of Caldiero (1805), location, Caldiero]
Generated description
Caldiero is a town in the Veneto region of northern Italy, historically notable as the site of several Napoleonic-era battles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caldiero
Target entity description: Caldiero is a town in the Veneto region of northern Italy, historically notable as the site of several Napoleonic-era battles.
  • A. Caldogno
    Caldogno is a small town in the Veneto region of northern Italy, best known as the birthplace of legendary footballer Roberto Baggio.
  • B. Tarvisio
    Tarvisio is a northeastern Italian town in Friuli Venezia Giulia, known as a mountain resort and transport hub near the borders with Austria and Slovenia in the Julian Alps.
  • C. Legnago
    Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
  • D. Bolzano
    Bolzano is a bilingual Italian city in the South Tyrol region, known for its Alpine setting, mix of Italian and Austrian cultures, and as the home of the famous Ötzi the Iceman museum.
  • E. Bolzano
    Bolzano was an Italian Zara-class heavy cruiser of the Regia Marina that served during World War II in the Mediterranean Sea.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2279de4819081b8876d02f55388 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c82772400881908d6b11b60a1443bb completed March 28, 2026, 7:09 p.m.
NEDg Description generation batch_69c828c8b0588190a5a99380dc25d837 completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c8296962b48190b9f5cc4a66b93b91 completed March 28, 2026, 7:18 p.m.
Created at: March 27, 2026, 3:09 p.m.