Triple

T9218407
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg Province E221297 entity
Predicate containsTown P847 FINISHED
Object Habay
Habay is a municipality in the Walloon region of southern Belgium, known for its rural landscapes and location within Luxembourg Province.
 E787262 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: Habay | Statement: [Luxembourg Province, containsTown, Habay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Habay
Context triple: [Luxembourg Province, containsTown, Habay]
  • A. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • B. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • C. Haisyn
    Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
  • D. Mahur
    Mahur is a small town in the Dima Hasao district of Assam, India, known as a local commercial and transport hub in the region’s hilly terrain.
  • E. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • 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: Habay
Triple: [Luxembourg Province, containsTown, Habay]
Generated description
Habay is a municipality in the Walloon region of southern Belgium, known for its rural landscapes and location within Luxembourg Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Habay
Target entity description: Habay is a municipality in the Walloon region of southern Belgium, known for its rural landscapes and location within Luxembourg Province.
  • A. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • B. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • C. Haisyn
    Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
  • D. Mahur
    Mahur is a small town in the Dima Hasao district of Assam, India, known as a local commercial and transport hub in the region’s hilly terrain.
  • E. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda730f688190b64b2cc8c4898ac3 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0779651588190a00179dec66bc228 completed April 4, 2026, 2:29 a.m.
NEDg Description generation batch_69d07f37350081908121d1f86cae5cb6 completed April 4, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_69d07f6ed830819087e71b0df139ffad completed April 4, 2026, 3:03 a.m.
Created at: March 30, 2026, 7:27 p.m.