Triple

T12714905
Position Surface form Disambiguated ID Type / Status
Subject Flémalle E303811 entity
Predicate hasMunicipalSection P10450 FINISHED
Object Awirs
Awirs is a village and district within the municipality of Flémalle in the province of Liège, Belgium.
 E997386 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: Awirs | Statement: [Flémalle, hasMunicipalSection, Awirs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Awirs
Context triple: [Flémalle, hasMunicipalSection, Awirs]
  • A. Wihro
    Wihro is the official mascot character created for the 2022 Mediterranean Games.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Arpitans
    Arpitans are a Romance-speaking ethnolinguistic group native to the Alpine regions of France, Switzerland, and Italy, traditionally associated with the Arpitan (Franco-Provençal) language and culture.
  • D. Orlysiens
    Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
  • E. Warialda
    Warialda is a small rural town in northern New South Wales, Australia, known for agriculture and its role as a local service centre for the surrounding farming region.
  • 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: Awirs
Triple: [Flémalle, hasMunicipalSection, Awirs]
Generated description
Awirs is a village and district within the municipality of Flémalle in the province of Liège, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Awirs
Target entity description: Awirs is a village and district within the municipality of Flémalle in the province of Liège, Belgium.
  • A. Wihro
    Wihro is the official mascot character created for the 2022 Mediterranean Games.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Arpitans
    Arpitans are a Romance-speaking ethnolinguistic group native to the Alpine regions of France, Switzerland, and Italy, traditionally associated with the Arpitan (Franco-Provençal) language and culture.
  • D. Orlysiens
    Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
  • E. Warialda
    Warialda is a small rural town in northern New South Wales, Australia, known for agriculture and its role as a local service centre for the surrounding farming region.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620a7554819083784897ff690652 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671bad5108190915d14c3ec3d2e27 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f67286f1b8819081db3da2f5c16daf completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67323a724819092425cdb3a070b96 completed May 2, 2026, 9:56 p.m.
Created at: April 9, 2026, 5:23 p.m.