Triple

T17134587
Position Surface form Disambiguated ID Type / Status
Subject Ninove E415802 entity
Predicate hasMunicipalDistrict P78738 FINISHED
Object Neigem
Neigem is a village in the Flemish province of East Flanders, Belgium, that forms one of the municipal districts of the city of Ninove.
 E1252437 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: Neigem | Statement: [Ninove, hasMunicipalDistrict, Neigem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neigem
Context triple: [Ninove, hasMunicipalDistrict, Neigem]
  • A. Nekede
    Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
  • B. Negaim
    Negaim is a tractate of the Mishnah that deals with the laws of ritual impurity caused by skin afflictions traditionally associated with biblical leprosy.
  • C. Neka
    Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
  • D. Némi
    Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
  • E. Немига
    Немига — это небольшая река в Минске, ныне в основном заключённая в подземный коллектор и давшая название одноимённому району и станции метро.
  • 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: Neigem
Triple: [Ninove, hasMunicipalDistrict, Neigem]
Generated description
Neigem is a village in the Flemish province of East Flanders, Belgium, that forms one of the municipal districts of the city of Ninove.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neigem
Target entity description: Neigem is a village in the Flemish province of East Flanders, Belgium, that forms one of the municipal districts of the city of Ninove.
  • A. Nekede
    Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
  • B. Negaim
    Negaim is a tractate of the Mishnah that deals with the laws of ritual impurity caused by skin afflictions traditionally associated with biblical leprosy.
  • C. Neka
    Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
  • D. Némi
    Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
  • E. Немига
    Немига — это небольшая река в Минске, ныне в основном заключённая в подземный коллектор и давшая название одноимённому району и станции метро.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02dca8881908efd73741397a207 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014150d63081908a5614f85694e57a completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a0141e96e4481908bfdf7a1eb4ac979 completed May 11, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a01428ca86881909b18bcfc1c223f22 completed May 11, 2026, 2:44 a.m.
Created at: April 10, 2026, 5:36 a.m.