Triple

T2739314
Position Surface form Disambiguated ID Type / Status
Subject Province of Liège E60709 entity
Predicate containsMunicipality P852 FINISHED
Object Fléron
Fléron is a municipality in eastern Belgium located in the Walloon region’s Province of Liège.
 E305457 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: Fléron | Statement: [Province of Liège, containsMunicipality, Fléron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fléron
Context triple: [Province of Liège, containsMunicipality, Fléron]
  • A. Alès
    Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • B. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • C. Fuissé
    Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
  • D. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • E. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • 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: Fléron
Triple: [Province of Liège, containsMunicipality, Fléron]
Generated description
Fléron is a municipality in eastern Belgium located in the Walloon region’s Province of Liège.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fléron
Target entity description: Fléron is a municipality in eastern Belgium located in the Walloon region’s Province of Liège.
  • A. Alès
    Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • B. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • C. Fuissé
    Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
  • D. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • E. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb2da94c8190bc9d23262e3dfc07 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d466d6481908ca5952db369c9f3 completed March 10, 2026, 1:31 p.m.
NEDg Description generation batch_69b01def4f408190a0fcdba125b642bc completed March 10, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69b01e75d3c4819097fd86902eccd8c4 completed March 10, 2026, 1:36 p.m.
Created at: March 6, 2026, 9:56 p.m.