Triple

T7712326
Position Surface form Disambiguated ID Type / Status
Subject Aigle E174788 entity
Predicate hasRailConnection P848 FINISHED
Object Le Sépey
Le Sépey is a small village in the canton of Vaud, Switzerland, situated in the Alps and serving as a local stop on the regional railway network.
E683640 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: Le Sépey | Statement: [Aigle, hasRailConnection, Le Sépey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Sépey
Context triple: [Aigle, hasRailConnection, Le Sépey]
  • A. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • B. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • C. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • D. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • E. Serhedi
    Serhedi is a regional dialect of Kurmanji Kurdish spoken in parts of the Kurdish-inhabited areas of the Middle East.
  • 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: Le Sépey
Triple: [Aigle, hasRailConnection, Le Sépey]
Generated description
Le Sépey is a small village in the canton of Vaud, Switzerland, situated in the Alps and serving as a local stop on the regional railway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Le Sépey
Target entity description: Le Sépey is a small village in the canton of Vaud, Switzerland, situated in the Alps and serving as a local stop on the regional railway network.
  • A. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • B. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • C. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • D. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • E. Serhedi
    Serhedi is a regional dialect of Kurmanji Kurdish spoken in parts of the Kurdish-inhabited areas of the Middle East.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702c96e388190898165f84d646c0e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8accffffc8190b307ad4741e688a8 completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8afc57d6c81909ca6a5a1a5a4efdb completed March 29, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_69c8b04e87e88190a6e37589a31470b4 completed March 29, 2026, 4:53 a.m.
Created at: March 27, 2026, 4:04 p.m.