Triple

T840904
Position Surface form Disambiguated ID Type / Status
Subject Eugene Maurice, Count of Soissons E18173 entity
Predicate deathPlace P21 FINISHED
Object Unna
Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
E101592 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: Unna | Statement: [Eugene Maurice, Count of Soissons, deathPlace, Unna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unna
Context triple: [Eugene Maurice, Count of Soissons, deathPlace, Unna]
  • A. Inuinnaqtun
    Inuinnaqtun is an Inuit language spoken in parts of the Canadian Arctic, particularly in western Nunavut and the Northwest Territories.
  • B. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • C. Ulladulla
    Ulladulla is a coastal town in New South Wales, Australia, known for its fishing harbour, beaches, and role as a popular holiday destination.
  • D. Utulei
    Utulei is a coastal village and administrative center on Tutuila Island in American Samoa, known for its government offices and harborfront location near the capital, Pago Pago.
  • E. Usk
    Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
  • 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: Unna
Triple: [Eugene Maurice, Count of Soissons, deathPlace, Unna]
Generated description
Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Unna
Target entity description: Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
  • A. Inuinnaqtun
    Inuinnaqtun is an Inuit language spoken in parts of the Canadian Arctic, particularly in western Nunavut and the Northwest Territories.
  • B. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • C. Ulladulla
    Ulladulla is a coastal town in New South Wales, Australia, known for its fishing harbour, beaches, and role as a popular holiday destination.
  • D. Utulei
    Utulei is a coastal village and administrative center on Tutuila Island in American Samoa, known for its government offices and harborfront location near the capital, Pago Pago.
  • E. Usk
    Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe5d7848190b15e0cb343b6f4ba completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3bb2fa08190b1e8f26ceb04b08c completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a5929de48190b01f45fbf19c72dc completed March 4, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69a7a63205308190b55b76116c0d5e7c completed March 4, 2026, 3:25 a.m.
Created at: March 1, 2026, 7:38 p.m.