Triple

T11601990
Position Surface form Disambiguated ID Type / Status
Subject Moudon E275152 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Syens
Syens is a small rural municipality in the canton of Vaud in western Switzerland.
 E936270 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: Syens | Statement: [Moudon, hasNeighbouringMunicipality, Syens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Syens
Context triple: [Moudon, hasNeighbouringMunicipality, Syens]
  • A. Sinis
    Sinis is a bandit from Greek mythology, notorious for violently killing travelers by bending and releasing pine trees, who was ultimately slain by the hero Theseus.
  • B. Sosanya
    Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
  • C. Hyele
    Hyele is the ancient name of the coastal town of Velia in southern Italy, historically associated with the Greek colony of Elea in Magna Graecia.
  • D. Sayanse
    Sayanse is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
  • E. Syacium
    Syacium is a genus of lefteye flounders, a group of bottom-dwelling flatfishes found primarily in coastal and continental shelf waters of the Americas.
  • 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: Syens
Triple: [Moudon, hasNeighbouringMunicipality, Syens]
Generated description
Syens is a small rural municipality in the canton of Vaud in western Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Syens
Target entity description: Syens is a small rural municipality in the canton of Vaud in western Switzerland.
  • A. Sinis
    Sinis is a bandit from Greek mythology, notorious for violently killing travelers by bending and releasing pine trees, who was ultimately slain by the hero Theseus.
  • B. Sosanya
    Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
  • C. Hyele
    Hyele is the ancient name of the coastal town of Velia in southern Italy, historically associated with the Greek colony of Elea in Magna Graecia.
  • D. Sayanse
    Sayanse is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
  • E. Syacium
    Syacium is a genus of lefteye flounders, a group of bottom-dwelling flatfishes found primarily in coastal and continental shelf waters of the Americas.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954daa908190a8d532e43aa4a881 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7f018a881908f4b206699044ceb completed April 22, 2026, 10:50 a.m.
NEDg Description generation batch_69e9e9c6b7c08190838a08cda0290671 completed April 23, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69ee5b3a3720819095a4a87176e052cb completed April 26, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:38 p.m.