Triple

T18360353
Position Surface form Disambiguated ID Type / Status
Subject Gargnano E439897 entity
Predicate hasFrazione P4207 FINISHED
Object Formaga
Formaga is a small hamlet (frazione) of the lakeside town of Gargnano in the Lombardy region of northern Italy.
 E1320255 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: Formaga | Statement: [Gargnano, hasFrazione, Formaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Formaga
Context triple: [Gargnano, hasFrazione, Formaga]
  • A. Logudoro
    Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
  • B. Muribeca
    Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
  • C. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • D. Baranda
    Baranda is a small settlement located within the municipality of Opovo in Serbia.
  • E. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • 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: Formaga
Triple: [Gargnano, hasFrazione, Formaga]
Generated description
Formaga is a small hamlet (frazione) of the lakeside town of Gargnano in the Lombardy region of northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Formaga
Target entity description: Formaga is a small hamlet (frazione) of the lakeside town of Gargnano in the Lombardy region of northern Italy.
  • A. Logudoro
    Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
  • B. Muribeca
    Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
  • C. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • D. Baranda
    Baranda is a small settlement located within the municipality of Opovo in Serbia.
  • E. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516db045c8190b20c209225a53b9a completed April 19, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc328b108190b28416eb5bfb0b4f completed May 13, 2026, 12:56 a.m.
NEDg Description generation batch_6a03d2a6e7648190881a140d42ae7e86 completed May 13, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a03d40ba5ec81909371d4134a88101d completed May 13, 2026, 1:29 a.m.
Created at: April 10, 2026, 10:37 a.m.