Triple

T9510245
Position Surface form Disambiguated ID Type / Status
Subject Saumur E229371 entity
Predicate twinTown P1072 FINISHED
Object Formigine
Formigine is a municipality in Italy’s Emilia-Romagna region, known for its medieval castle and historic town center near Modena.
E803826 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: Formigine | Statement: [Saumur, twinTown, Formigine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formigine
Context triple: [Saumur, twinTown, Formigine]
  • A. Formiae
    Formiae was an ancient coastal town in Latium, Italy, known as a Roman resort and historically noted as the place where Cicero was killed.
  • B. Proformica
    Proformica is a genus of ants within the subfamily Formicinae, known for inhabiting arid and semi-arid regions in parts of Europe and Asia.
  • C. Formica
    Formica is a small island in Italy’s Aegadian archipelago off the western coast of Sicily.
  • D. Apoica
    Apoica is a genus of nocturnal paper wasps known for their pale coloration and distinctive nighttime activity in the Neotropics.
  • E. The Ants
    The Ants is a Pulitzer Prize–winning scientific book that provides a comprehensive and authoritative overview of ant biology, behavior, and social organization.
  • 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: Formigine
Triple: [Saumur, twinTown, Formigine]
Generated description
Formigine is a municipality in Italy’s Emilia-Romagna region, known for its medieval castle and historic town center near Modena.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Formigine
Target entity description: Formigine is a municipality in Italy’s Emilia-Romagna region, known for its medieval castle and historic town center near Modena.
  • A. Formiae
    Formiae was an ancient coastal town in Latium, Italy, known as a Roman resort and historically noted as the place where Cicero was killed.
  • B. Proformica
    Proformica is a genus of ants within the subfamily Formicinae, known for inhabiting arid and semi-arid regions in parts of Europe and Asia.
  • C. Formica
    Formica is a small island in Italy’s Aegadian archipelago off the western coast of Sicily.
  • D. Apoica
    Apoica is a genus of nocturnal paper wasps known for their pale coloration and distinctive nighttime activity in the Neotropics.
  • E. The Ants
    The Ants is a Pulitzer Prize–winning scientific book that provides a comprehensive and authoritative overview of ant biology, behavior, and social organization.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9868616c8190856f89fecfa1a02e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a31600c8190a4a7ecb5231caa36 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13be79b1c8190a9110312ae25cf32 completed April 4, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69d13ca165b88190b4d629df0e079b3b completed April 4, 2026, 4:30 p.m.
Created at: March 30, 2026, 7:58 p.m.