Triple

T15583619
Position Surface form Disambiguated ID Type / Status
Subject Borromeo E374562 entity
Predicate hasTitle P38 FINISHED
Object Count of Angera
Count of Angera is a noble title historically associated with the influential Italian Borromeo family, linked to their feudal holdings around the town of Angera on Lake Maggiore.
E1165655 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: Count of Angera | Statement: [Borromeo, hasTitle, Count of Angera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count of Angera
Context triple: [Borromeo, hasTitle, Count of Angera]
  • A. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • B. Veeragase
    Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
  • C. Anjra
    Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
  • D. Itanagra
    Itanagra is a small municipality in the Brazilian state of Bahia, located within the Metropolitan Region of Salvador.
  • E. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • 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: Count of Angera
Triple: [Borromeo, hasTitle, Count of Angera]
Generated description
Count of Angera is a noble title historically associated with the influential Italian Borromeo family, linked to their feudal holdings around the town of Angera on Lake Maggiore.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Count of Angera
Target entity description: Count of Angera is a noble title historically associated with the influential Italian Borromeo family, linked to their feudal holdings around the town of Angera on Lake Maggiore.
  • A. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • B. Veeragase
    Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
  • C. Anjra
    Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
  • D. Itanagra
    Itanagra is a small municipality in the Brazilian state of Bahia, located within the Metropolitan Region of Salvador.
  • E. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e47971481909e986dd999354628 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4f71e48190a15eb0a2138f083f completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4fb2522481909fa66c2e1fac23bf completed May 9, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_69ff5238f0e88190b280942022480c12 completed May 9, 2026, 3:26 p.m.
Created at: April 10, 2026, 4:11 a.m.