Triple

T3718713
Position Surface form Disambiguated ID Type / Status
Subject Jewish printing E81589 entity
Predicate hasEarlyCenter P51395 FINISHED
Object Soncino
Soncino is an Italian town historically renowned as one of the earliest and most important centers of Hebrew book printing.
 E383121 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: Soncino | Statement: [Jewish printing, hasEarlyCenter, Soncino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Soncino
Context triple: [Jewish printing, hasEarlyCenter, Soncino]
  • A. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • B. Segrate
    Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
  • C. Vercelli
    Vercelli is a historic city in northern Italy’s Piedmont region, known for its medieval architecture and important role in rice cultivation.
  • D. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • E. Cremona
    Cremona is a historic city in northern Italy renowned for its tradition of violin making and its well-preserved medieval architecture.
  • 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: Soncino
Triple: [Jewish printing, hasEarlyCenter, Soncino]
Generated description
Soncino is an Italian town historically renowned as one of the earliest and most important centers of Hebrew book printing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Soncino
Target entity description: Soncino is an Italian town historically renowned as one of the earliest and most important centers of Hebrew book printing.
  • A. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • B. Segrate
    Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
  • C. Vercelli
    Vercelli is a historic city in northern Italy’s Piedmont region, known for its medieval architecture and important role in rice cultivation.
  • D. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • E. Cremona
    Cremona is a historic city in northern Italy renowned for its tradition of violin making and its well-preserved medieval architecture.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adca984844819087a2f6b20d2f19e7 completed March 8, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce1560bc81908fe936c426795f06 completed March 14, 2026, 2:55 a.m.
NEDg Description generation batch_69b4d33a80dc8190972bf88da3b8d1b5 completed March 14, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69b4d395336881908a942dd408560a81 completed March 14, 2026, 3:18 a.m.
Created at: March 8, 2026, 3:33 p.m.