Triple

T6035126
Position Surface form Disambiguated ID Type / Status
Subject Tilburg E134398 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Reeshof
Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
 E688099 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: Reeshof | Statement: [Tilburg, hasNeighbourhood, Reeshof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reeshof
Context triple: [Tilburg, hasNeighbourhood, Reeshof]
  • A. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • B. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • C. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • D. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • E. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • 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: Reeshof
Triple: [Tilburg, hasNeighbourhood, Reeshof]
Generated description
Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reeshof
Target entity description: Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
  • A. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • B. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • C. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • D. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • E. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b33a7c8190ad6282286199b192 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d66fdb1c81909ca125e5918b0997 completed March 29, 2026, 7:36 a.m.
NEDg Description generation batch_69c8d72d58988190be00b2bc8e42c2fb completed March 29, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_69c8d7651f948190872191f61983d695 completed March 29, 2026, 7:40 a.m.
Created at: March 22, 2026, 4:08 p.m.