Triple

T10619518
Position Surface form Disambiguated ID Type / Status
Subject Hannut E295670 entity
Predicate hasSubdivision P747 FINISHED
Object Moxhe
Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
E879410 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: Moxhe | Statement: [Hannut, hasSubdivision, Moxhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moxhe
Context triple: [Hannut, hasSubdivision, Moxhe]
  • A. Mosen
    Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
  • B. Monjo
    Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
  • C. Muyil
    Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
  • D. Mudon
    Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
  • E. Mudon
    Mudon is a town in southeastern Myanmar known for its proximity to the coast and its role as a local center of agriculture and trade within Mon 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: Moxhe
Triple: [Hannut, hasSubdivision, Moxhe]
Generated description
Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moxhe
Target entity description: Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
  • A. Mosen
    Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
  • B. Monjo
    Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
  • C. Muyil
    Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
  • D. Mudon
    Mudon is a town in southeastern Myanmar known for its proximity to the coast and its role as a local center of agriculture and trade within Mon State.
  • E. Mudon
    Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6fc47c8190b77b61a7fd223d65 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d988474cf0819087516026fd249640 completed April 10, 2026, 11:31 p.m.
NEDg Description generation batch_69d98ae8403c81908a229aa06bd0388a completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98ce9ba0c8190a7c62fa670e23705 completed April 10, 2026, 11:51 p.m.
Created at: April 8, 2026, 8:21 p.m.