Triple

T18816861
Position Surface form Disambiguated ID Type / Status
Subject Maranello E460157 entity
Predicate hasFrazione P4207 FINISHED
Object Fogliano
Fogliano is a small locality in northern Italy that forms one of the outlying districts of the town of Maranello in the Emilia-Romagna region.
 E1343850 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: Fogliano | Statement: [Maranello, hasFrazione, Fogliano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fogliano
Context triple: [Maranello, hasFrazione, Fogliano]
  • A. Fogliano
    Fogliano is a small locality (frazione) of the town of Vigevano in the Lombardy region of northern Italy.
  • B. Calizzano
    Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
  • C. Fiamignano
    Fiamignano is a small Italian municipality in the Lazio region, known for its mountainous landscape and traditional rural character.
  • D. Loiano
    Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
  • E. Folignano
    Folignano is a small municipality in Italy’s Marche region, situated near the city of Ascoli Piceno.
  • 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: Fogliano
Triple: [Maranello, hasFrazione, Fogliano]
Generated description
Fogliano is a small locality in northern Italy that forms one of the outlying districts of the town of Maranello in the Emilia-Romagna region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fogliano
Target entity description: Fogliano is a small locality in northern Italy that forms one of the outlying districts of the town of Maranello in the Emilia-Romagna region.
  • A. Fogliano
    Fogliano is a small locality (frazione) of the town of Vigevano in the Lombardy region of northern Italy.
  • B. Calizzano
    Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
  • C. Fiamignano
    Fiamignano is a small Italian municipality in the Lazio region, known for its mountainous landscape and traditional rural character.
  • D. Loiano
    Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
  • E. Folignano
    Folignano is a small municipality in Italy’s Marche region, situated near the city of Ascoli Piceno.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b620248190afa21a6ce61e2cff completed April 20, 2026, 4:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bc7cf40819084b9b975daa86b5f completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055d9a9da88190b974e8803ca8537f completed May 14, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_6a055e1a22308190bb7f2337fabc5bdf completed May 14, 2026, 5:31 a.m.
Created at: April 10, 2026, 11:55 a.m.