Triple

T3267795
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Gex E68567 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Ségny
Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
 E341373 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: Ségny | Statement: [arrondissement of Gex, containsAdministrativeTerritorialEntity, Ségny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ségny
Context triple: [arrondissement of Gex, containsAdministrativeTerritorialEntity, Ségny]
  • A. Bodrog
    Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
  • B. Sajó
    Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
  • C. Zala River
    The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
  • D. Savaria
    Savaria was a prominent Roman city in the province of Pannonia, known today as Szombathely in western Hungary.
  • E. Bicske
    Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
  • 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: Ségny
Triple: [arrondissement of Gex, containsAdministrativeTerritorialEntity, Ségny]
Generated description
Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ségny
Target entity description: Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
  • A. Bodrog
    Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
  • B. Sajó
    Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
  • C. Zala River
    The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
  • D. Savaria
    Savaria was a prominent Roman city in the province of Pannonia, known today as Szombathely in western Hungary.
  • E. Bicske
    Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
  • 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_69b28ef261ec819091c62620765e2cef completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b28f9efe408190bcb1e16931b2fe62 completed March 12, 2026, 10:04 a.m.
NED2 Entity disambiguation (via description) batch_69b2a8b873b081909bbb5de329e45169 completed March 12, 2026, 11:51 a.m.
Created at: March 8, 2026, 3:09 p.m.