Triple

T11315610
Position Surface form Disambiguated ID Type / Status
Subject Genk E267956 entity
Predicate contains P35 FINISHED
Object Termien
Termien is a district of the Belgian city of Genk, located in the province of Limburg.
 E917499 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: Termien | Statement: [Genk, contains, Termien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Termien
Context triple: [Genk, contains, Termien]
  • A. Terim
    Terim is the surname of Fatih Terim, a prominent Turkish football manager and former player.
  • B. Termunterzijl
    Termunterzijl is a small village in the province of Groningen in the Netherlands, known for its historic sluices and location near the Ems estuary.
  • C. Termo
    Termo is a small unincorporated rural community located in Lassen County in northeastern California.
  • D. Ten’edn
    Ten’edn is an Aslian language spoken by an indigenous community in the Malay Peninsula, belonging to the broader Austroasiatic language family.
  • E. Tems
    Tems is a Nigerian singer, songwriter, and producer known for her soulful Afrobeat and R&B sound and for her global breakout collaborations, including "Essence" with Wizkid.
  • 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: Termien
Triple: [Genk, contains, Termien]
Generated description
Termien is a district of the Belgian city of Genk, located in the province of Limburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Termien
Target entity description: Termien is a district of the Belgian city of Genk, located in the province of Limburg.
  • A. Terim
    Terim is the surname of Fatih Terim, a prominent Turkish football manager and former player.
  • B. Termunterzijl
    Termunterzijl is a small village in the province of Groningen in the Netherlands, known for its historic sluices and location near the Ems estuary.
  • C. Termo
    Termo is a small unincorporated rural community located in Lassen County in northeastern California.
  • D. Ten’edn
    Ten’edn is an Aslian language spoken by an indigenous community in the Malay Peninsula, belonging to the broader Austroasiatic language family.
  • E. Tems
    Tems is a Nigerian singer, songwriter, and producer known for her soulful Afrobeat and R&B sound and for her global breakout collaborations, including "Essence" with Wizkid.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c2c7b081909af8acebc8aa93aa completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a9e66588190b71e0f60133a8995 completed April 19, 2026, 5:02 p.m.
NEDg Description generation batch_69e510fc537c8190bbf11c8fd6e5764b completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516d0910481908fee176db0d9229b completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.