Triple

T2400198
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Verviers E47747 entity
Predicate contains P35 FINISHED
Object Baelen
Baelen is a small municipality in the province of Liège in eastern Belgium, near the German border.
 E263274 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: Baelen | Statement: [Arrondissement of Verviers, contains, Baelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baelen
Context triple: [Arrondissement of Verviers, contains, Baelen]
  • A. Brienne of Tarth
    Brienne of Tarth is a formidable and honor-bound warrior noblewoman from the A Song of Ice and Fire novels and the Game of Thrones television series.
  • B. Perrin
    Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
  • C. Princess Rhaenys Targaryen
    Princess Rhaenys Targaryen is a seasoned dragonrider and politically astute Targaryen royal, known as "The Queen Who Never Was" in the world of George R. R. Martin’s Westeros.
  • D. Aegon
    Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
  • E. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • 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: Baelen
Triple: [Arrondissement of Verviers, contains, Baelen]
Generated description
Baelen is a small municipality in the province of Liège in eastern Belgium, near the German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baelen
Target entity description: Baelen is a small municipality in the province of Liège in eastern Belgium, near the German border.
  • A. Brienne of Tarth
    Brienne of Tarth is a formidable and honor-bound warrior noblewoman from the A Song of Ice and Fire novels and the Game of Thrones television series.
  • B. Perrin
    Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
  • C. Princess Rhaenys Targaryen
    Princess Rhaenys Targaryen is a seasoned dragonrider and politically astute Targaryen royal, known as "The Queen Who Never Was" in the world of George R. R. Martin’s Westeros.
  • D. Aegon
    Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
  • E. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8c95d8c819088e4bb4fb32452ae completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e319c481908537fe278f6f0a67 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4b83ec48190b2852daef0767ac8 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb57f0e90819093b096955f9cc2b5 completed March 9, 2026, 11:56 a.m.
Created at: March 4, 2026, 7:57 p.m.