Triple

T11178091
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Huy E264463 entity
Predicate hasPart P35 FINISHED
Object Hamoir
Hamoir is a small municipality in the province of Liège in Wallonia, Belgium, known for its scenic setting along the Ourthe River.
 E909951 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: Hamoir | Statement: [Arrondissement of Huy, hasPart, Hamoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hamoir
Context triple: [Arrondissement of Huy, hasPart, Hamoir]
  • A. Marpissa
    Marpissa is a traditional Cycladic village on the Greek island of Paros, known for its narrow alleys, whitewashed houses, and hilltop views.
  • B. Nattier
    Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
  • C. Snaaib
    Snaaib was a relatively obscure pharaoh of Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
  • D. Gobrias
    Gobrias is a figure mentioned in ancient Near Eastern and classical sources, often associated with the Medo-Persian conquest of Babylon and the fall of King Belshazzar.
  • E. Morvi
    Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
  • 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: Hamoir
Triple: [Arrondissement of Huy, hasPart, Hamoir]
Generated description
Hamoir is a small municipality in the province of Liège in Wallonia, Belgium, known for its scenic setting along the Ourthe River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hamoir
Target entity description: Hamoir is a small municipality in the province of Liège in Wallonia, Belgium, known for its scenic setting along the Ourthe River.
  • A. Marpissa
    Marpissa is a traditional Cycladic village on the Greek island of Paros, known for its narrow alleys, whitewashed houses, and hilltop views.
  • B. Nattier
    Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
  • C. Snaaib
    Snaaib was a relatively obscure pharaoh of Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
  • D. Gobrias
    Gobrias is a figure mentioned in ancient Near Eastern and classical sources, often associated with the Medo-Persian conquest of Babylon and the fall of King Belshazzar.
  • E. Morvi
    Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e899c6288190b39e090fa9cdc883 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4839eeaac8190826007ca126ed491 completed April 19, 2026, 7:26 a.m.
NEDg Description generation batch_69e48715bd2081908774d325db2b6dd5 completed April 19, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69e4886c0da881909105b3a45e786ce9 completed April 19, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:29 p.m.