Triple

T14699963
Position Surface form Disambiguated ID Type / Status
Subject Ves' E345268 entity
Predicate nameVariant P744 FINISHED
Object Vesi
Vesi is a given name and surname used in various cultures, often associated with meanings related to water.
 E1114543 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: Vesi | Statement: [Ves', nameVariant, Vesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vesi
Context triple: [Ves', nameVariant, Vesi]
  • A. Vannin
    Vannin is the Manx name for the Isle of Man, a self-governing British Crown dependency in the Irish Sea.
  • B. Viiala
    Viiala was a former municipality in southern Finland that later became part of the town of Akaa.
  • C. Meeri
    Meeri is the inner fortification complex located within Pakistan’s historic Ranikot Fort, often noted for its distinct defensive walls and gateways.
  • D. Vesle
    The Vesle is a river in northeastern France that flows through the Champagne region and was a significant geographic feature during World War I battles.
  • E. Spreeau
    Spreeau is a small locality within the municipality of Grünheide (Mark) in the German state of Brandenburg.
  • 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: Vesi
Triple: [Ves', nameVariant, Vesi]
Generated description
Vesi is a given name and surname used in various cultures, often associated with meanings related to water.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vesi
Target entity description: Vesi is a given name and surname used in various cultures, often associated with meanings related to water.
  • A. Vannin
    Vannin is the Manx name for the Isle of Man, a self-governing British Crown dependency in the Irish Sea.
  • B. Viiala
    Viiala was a former municipality in southern Finland that later became part of the town of Akaa.
  • C. Meeri
    Meeri is the inner fortification complex located within Pakistan’s historic Ranikot Fort, often noted for its distinct defensive walls and gateways.
  • D. Vesle
    The Vesle is a river in northeastern France that flows through the Champagne region and was a significant geographic feature during World War I battles.
  • E. Spreeau
    Spreeau is a small locality within the municipality of Grünheide (Mark) in the German state of Brandenburg.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb605f5948190ab6b20887c4b6833 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde191ef6081908434db8d89ad38cb completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde7d0d5208190a3ce1e414c08a017 completed May 8, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69fde8fb5dd481908aa1334fd9d18bb5 completed May 8, 2026, 1:45 p.m.
Created at: April 10, 2026, 1:28 a.m.