Triple

T1819584
Position Surface form Disambiguated ID Type / Status
Subject Brakel E40512 entity
Predicate hasSettlement P1068 FINISHED
Object Zegelsem
Zegelsem is a village in the Flemish Ardennes region of East Flanders, Belgium, known for its rural character and cobblestone cycling roads.
 E204663 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: Zegelsem | Statement: [Brakel, hasSettlement, Zegelsem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zegelsem
Context triple: [Brakel, hasSettlement, Zegelsem]
  • A. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • B. Zellig
    Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • E. Zinkernagel
    Zinkernagel is a Swiss surname most notably borne by immunologist Rolf Zinkernagel, co-recipient of the 1996 Nobel Prize in Physiology or Medicine.
  • 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: Zegelsem
Triple: [Brakel, hasSettlement, Zegelsem]
Generated description
Zegelsem is a village in the Flemish Ardennes region of East Flanders, Belgium, known for its rural character and cobblestone cycling roads.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zegelsem
Target entity description: Zegelsem is a village in the Flemish Ardennes region of East Flanders, Belgium, known for its rural character and cobblestone cycling roads.
  • A. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • B. Zellig
    Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • E. Zinkernagel
    Zinkernagel is a Swiss surname most notably borne by immunologist Rolf Zinkernagel, co-recipient of the 1996 Nobel Prize in Physiology or Medicine.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f9f32c819084948e7ce7fa6f2e completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf629af48190a27fddc764e306a7 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07e9ebc819082566cc98025b4ae completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.