Triple

T12714960
Position Surface form Disambiguated ID Type / Status
Subject Blegny E303812 entity
Predicate hasPart P35 FINISHED
Object Housse
Housse is a village in the municipality of Blegny in the province of Liège, Belgium.
 E997393 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: Housse | Statement: [Blegny, hasPart, Housse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Housse
Context triple: [Blegny, hasPart, Housse]
  • A. Boite
    The Boite is a mountain river in the Dolomites of northern Italy that flows through the town of Cortina d'Ampezzo before joining the Piave.
  • B. Bolso
    Bolso is the popular nickname of Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
  • C. Kasur
    Kasur is a historic city in Pakistan’s Punjab province, renowned as the home and burial place of the Sufi poet Bulleh Shah.
  • D. Pillow
    Pillow is the surname of Gideon J. Pillow, a 19th-century American lawyer, politician, and Confederate general in the U.S. Civil War.
  • E. Basket Case
    "Basket Case" is a 1994 punk rock song by Green Day, known as one of their breakthrough hits from the album *Dookie* and a defining track of 1990s pop-punk.
  • 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: Housse
Triple: [Blegny, hasPart, Housse]
Generated description
Housse is a village in the municipality of Blegny in the province of Liège, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Housse
Target entity description: Housse is a village in the municipality of Blegny in the province of Liège, Belgium.
  • A. Boite
    The Boite is a mountain river in the Dolomites of northern Italy that flows through the town of Cortina d'Ampezzo before joining the Piave.
  • B. Bolso
    Bolso is the popular nickname of Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
  • C. Kasur
    Kasur is a historic city in Pakistan’s Punjab province, renowned as the home and burial place of the Sufi poet Bulleh Shah.
  • D. Pillow
    Pillow is the surname of Gideon J. Pillow, a 19th-century American lawyer, politician, and Confederate general in the U.S. Civil War.
  • E. Basket Case
    "Basket Case" is a 1994 punk rock song by Green Day, known as one of their breakthrough hits from the album *Dookie* and a defining track of 1990s pop-punk.
  • 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.