Triple

T6871393
Position Surface form Disambiguated ID Type / Status
Subject Chalon-sur-Saône E158554 entity
Predicate formerName P65 FINISHED
Object Cavillonum
Cavillonum is the ancient Roman-era name for the town now known as Chalon-sur-Saône in eastern France.
 E625428 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: Cavillonum | Statement: [Chalon-sur-Saône, formerName, Cavillonum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cavillonum
Context triple: [Chalon-sur-Saône, formerName, Cavillonum]
  • A. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • B. Lauriacum
    Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
  • C. Ferentinum
    Ferentinum was an ancient town in central Italy historically associated with the Hernici people and later integrated into the Roman sphere.
  • D. Teanum Sidicinum
    Teanum Sidicinum was an important ancient city in Campania, Italy, serving as the chief urban center of the Sidicini people and later becoming a notable Roman municipality.
  • E. Saepinum
    Saepinum was an ancient town of the Samnite people in south-central Italy, later developed into a Roman municipium whose ruins are still visible today.
  • 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: Cavillonum
Triple: [Chalon-sur-Saône, formerName, Cavillonum]
Generated description
Cavillonum is the ancient Roman-era name for the town now known as Chalon-sur-Saône in eastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cavillonum
Target entity description: Cavillonum is the ancient Roman-era name for the town now known as Chalon-sur-Saône in eastern France.
  • A. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • B. Lauriacum
    Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
  • C. Ferentinum
    Ferentinum was an ancient town in central Italy historically associated with the Hernici people and later integrated into the Roman sphere.
  • D. Teanum Sidicinum
    Teanum Sidicinum was an important ancient city in Campania, Italy, serving as the chief urban center of the Sidicini people and later becoming a notable Roman municipality.
  • E. Saepinum
    Saepinum was an ancient town of the Samnite people in south-central Italy, later developed into a Roman municipium whose ruins are still visible today.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8ac04e08190aa8011c0ade9d509 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742a841548190abd706ea1efd622f completed March 28, 2026, 2:53 a.m.
NEDg Description generation batch_69c743a639f88190a0758194433322bf completed March 28, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69c7445fbd488190938ec3dd59cbeb2c completed March 28, 2026, 3 a.m.
Created at: March 27, 2026, 2:22 p.m.