Triple

T9639803
Position Surface form Disambiguated ID Type / Status
Subject Rusko E233032 entity
Predicate hasNeighbor P5707 FINISHED
Object Vahto
Vahto is a small village and former municipality in Southwest Finland, now part of the town of Rusko.
 E812603 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: Vahto | Statement: [Rusko, hasNeighbor, Vahto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vahto
Context triple: [Rusko, hasNeighbor, Vahto]
  • A. Vauhallan
    Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • B. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • C. Vaali
    Vaali is a 1999 Tamil psychological thriller film starring Ajith Kumar in dual roles, widely regarded as one of his breakthrough performances.
  • D. Ahti
    Ahti is a Finnish masculine given name, historically associated with figures in Finnish mythology and borne by various notable Finns.
  • E. Valluga
    Valluga is a prominent mountain peak in the Austrian Alps, popular for skiing, hiking, and panoramic views over the surrounding alpine ranges.
  • 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: Vahto
Triple: [Rusko, hasNeighbor, Vahto]
Generated description
Vahto is a small village and former municipality in Southwest Finland, now part of the town of Rusko.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vahto
Target entity description: Vahto is a small village and former municipality in Southwest Finland, now part of the town of Rusko.
  • A. Vauhallan
    Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • B. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • C. Vaali
    Vaali is a 1999 Tamil psychological thriller film starring Ajith Kumar in dual roles, widely regarded as one of his breakthrough performances.
  • D. Ahti
    Ahti is a Finnish masculine given name, historically associated with figures in Finnish mythology and borne by various notable Finns.
  • E. Valluga
    Valluga is a prominent mountain peak in the Austrian Alps, popular for skiing, hiking, and panoramic views over the surrounding alpine ranges.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b532aa4819087b56be6f5635126 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18248ffe4819095d4ea20951eca01 completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d1864bd0b881908806762ce9df3029 completed April 4, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_69d186d03eac8190a1080d5c25f4643c completed April 4, 2026, 9:46 p.m.
Created at: March 30, 2026, 8:12 p.m.