Triple

T3267785
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Gex E68567 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Cessy
Cessy is a small commune in eastern France near the Swiss border, known for its proximity to Geneva and the CERN research center.
E395723 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: Cessy | Statement: [arrondissement of Gex, containsAdministrativeTerritorialEntity, Cessy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cessy
Context triple: [arrondissement of Gex, containsAdministrativeTerritorialEntity, Cessy]
  • A. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • B. Cavaillon
    Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
  • C. Bourgoin-Jallieu
    Bourgoin-Jallieu is a commune in southeastern France known as an important commercial and transport hub in the Isère department, northeast of Lyon.
  • D. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • E. Ducos
    Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
  • 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: Cessy
Triple: [arrondissement of Gex, containsAdministrativeTerritorialEntity, Cessy]
Generated description
Cessy is a small commune in eastern France near the Swiss border, known for its proximity to Geneva and the CERN research center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cessy
Target entity description: Cessy is a small commune in eastern France near the Swiss border, known for its proximity to Geneva and the CERN research center.
  • A. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • B. Cavaillon
    Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
  • C. Bourgoin-Jallieu
    Bourgoin-Jallieu is a commune in southeastern France known as an important commercial and transport hub in the Isère department, northeast of Lyon.
  • D. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • E. Ducos
    Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcf9c6c819092f9c618b778b46d completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b511f9d8dc8190bc3728e75dec1059 completed March 14, 2026, 7:44 a.m.
NEDg Description generation batch_69b515d2e4b88190b7bd0492bf7e36ec completed March 14, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69b516268ddc8190bffd1c0423797add completed March 14, 2026, 8:02 a.m.
Created at: March 8, 2026, 3:09 p.m.