Triple

T15719308
Position Surface form Disambiguated ID Type / Status
Subject Uetliberg railway line E381046 entity
Predicate hasStation P35 FINISHED
Object Ringlikon
Ringlikon is a small railway station in Switzerland that serves the Uetliberg area on the Sihltal Zürich Uetliberg Bahn network.
E1173057 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: Ringlikon | Statement: [Uetliberg railway line, hasStation, Ringlikon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringlikon
Context triple: [Uetliberg railway line, hasStation, Ringlikon]
  • A. Saronida
    Saronida is a coastal town and seaside resort in the Athens metropolitan area of Greece, known for its beaches and residential character.
  • B. Davos Lake
    Davos Lake is a scenic alpine lake in the Swiss resort town of Davos, popular for recreation and surrounded by mountain landscapes.
  • C. Rossikon
    Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
  • D. Chilion
    Chilion is a minor biblical figure in the Old Testament, known as one of Naomi and Elimelech’s sons who died in Moab before the family’s return to Bethlehem.
  • E. Bygdin lake
    Bygdin lake is a high-altitude mountain lake in Norway, renowned for its scenic setting amid the peaks and hiking trails of Jotunheimen.
  • 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: Ringlikon
Triple: [Uetliberg railway line, hasStation, Ringlikon]
Generated description
Ringlikon is a small railway station in Switzerland that serves the Uetliberg area on the Sihltal Zürich Uetliberg Bahn network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ringlikon
Target entity description: Ringlikon is a small railway station in Switzerland that serves the Uetliberg area on the Sihltal Zürich Uetliberg Bahn network.
  • A. Saronida
    Saronida is a coastal town and seaside resort in the Athens metropolitan area of Greece, known for its beaches and residential character.
  • B. Davos Lake
    Davos Lake is a scenic alpine lake in the Swiss resort town of Davos, popular for recreation and surrounded by mountain landscapes.
  • C. Rossikon
    Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
  • D. Chilion
    Chilion is a minor biblical figure in the Old Testament, known as one of Naomi and Elimelech’s sons who died in Moab before the family’s return to Bethlehem.
  • E. Bygdin lake
    Bygdin lake is a high-altitude mountain lake in Norway, renowned for its scenic setting amid the peaks and hiking trails of Jotunheimen.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f932a248190b65ecfb2bc56e715 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75852cf88190be054160d5cbc675 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff783a84308190baffa6bbdfa56093 completed May 9, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69ff78f94c048190adbe51f2cf76a2e6 completed May 9, 2026, 6:12 p.m.
Created at: April 10, 2026, 4:45 a.m.