Triple

T12630030
Position Surface form Disambiguated ID Type / Status
Subject Avallon E301614 entity
Predicate demonym P191 FINISHED
Object Avallonnais
Avallonnais is the French term for an inhabitant or native of the town of Avallon in the Bourgogne-Franche-Comté region of eastern France.
E992506 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: Avallonnais | Statement: [Avallon, demonym, Avallonnais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avallonnais
Context triple: [Avallon, demonym, Avallonnais]
  • A. Privolnoye
    Privolnoye is a rural village in southern Russia best known as the birthplace of former Soviet leader Mikhail Gorbachev.
  • B. Asalluhi
    Asalluhi is a Mesopotamian god associated with incantations, healing, and exorcism, often linked to the later Babylonian deity Marduk.
  • C. Glavlit
    Glavlit was the Soviet state censorship agency responsible for controlling and suppressing information in publications, media, and the arts.
  • D. Free for All
    "Free for All" is a 1964 hard bop jazz album by drummer Art Blakey and his Jazz Messengers, celebrated for its intense energy and powerful ensemble performances.
  • E. Oeffingen
    Oeffingen is a district of the town of Fellbach in the German state of Baden-Württemberg.
  • 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: Avallonnais
Triple: [Avallon, demonym, Avallonnais]
Generated description
Avallonnais is the French term for an inhabitant or native of the town of Avallon in the Bourgogne-Franche-Comté region of eastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avallonnais
Target entity description: Avallonnais is the French term for an inhabitant or native of the town of Avallon in the Bourgogne-Franche-Comté region of eastern France.
  • A. Privolnoye
    Privolnoye is a rural village in southern Russia best known as the birthplace of former Soviet leader Mikhail Gorbachev.
  • B. Asalluhi
    Asalluhi is a Mesopotamian god associated with incantations, healing, and exorcism, often linked to the later Babylonian deity Marduk.
  • C. Glavlit
    Glavlit was the Soviet state censorship agency responsible for controlling and suppressing information in publications, media, and the arts.
  • D. Free for All
    "Free for All" is a 1964 hard bop jazz album by drummer Art Blakey and his Jazz Messengers, celebrated for its intense energy and powerful ensemble performances.
  • E. Oeffingen
    Oeffingen is a district of the town of Fellbach in the German state of Baden-Württemberg.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610ce9e48190a496824002c0d2be completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65edafc7c819088bd641542a32e39 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f660bc541c8190a4d1d7a4cc959ecf completed May 2, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f6617997188190bfce14c54619af7f completed May 2, 2026, 8:41 p.m.
Created at: April 9, 2026, 5:15 p.m.