Triple

T3857252
Position Surface form Disambiguated ID Type / Status
Subject Anderlecht E90047 entity
Predicate hasNeighbour P5707 FINISHED
Object Forest
Forest is a municipality in the Brussels-Capital Region of Belgium, known for its mix of residential areas, green spaces, and cultural venues.
 E393674 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: Forest | Statement: [Anderlecht, hasNeighbour, Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Forest
Context triple: [Anderlecht, hasNeighbour, Forest]
  • A. Forest
    Forest is the central protagonist of the game *Devs*, around whom the story’s main events and character dynamics revolve.
  • B. Woodland
    Woodland is a small city in California’s Sacramento Valley known as an agricultural and administrative hub for Yolo County.
  • C. Woodland
    Woodland is a small, affluent residential city located in Hennepin County, Minnesota, known for its wooded landscapes and lakeside properties.
  • D. Woodlands
    Woodlands is a residential neighbourhood located within the city of Pickering in Ontario, Canada.
  • E. Woodlands
    Woodlands is a residential and commercial town in northern Singapore that serves as a key land border crossing point to Malaysia across the Straits of Johor.
  • 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: Forest
Triple: [Anderlecht, hasNeighbour, Forest]
Generated description
Forest is a municipality in the Brussels-Capital Region of Belgium, known for its mix of residential areas, green spaces, and cultural venues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Forest
Target entity description: Forest is a municipality in the Brussels-Capital Region of Belgium, known for its mix of residential areas, green spaces, and cultural venues.
  • A. Forest
    Forest is the central protagonist of the game *Devs*, around whom the story’s main events and character dynamics revolve.
  • B. Woodland
    Woodland is a small city in California’s Sacramento Valley known as an agricultural and administrative hub for Yolo County.
  • C. Woodland
    Woodland is a small, affluent residential city located in Hennepin County, Minnesota, known for its wooded landscapes and lakeside properties.
  • D. Woodlands
    Woodlands is a residential neighbourhood located within the city of Pickering in Ontario, Canada.
  • E. Woodlands
    Woodlands is a residential and commercial town in northern Singapore that serves as a key land border crossing point to Malaysia across the Straits of Johor.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec09312c81908ffd7441c83730c8 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041f40f88190883339db0950026a completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50492239c8190a6c62504e2a6d130 completed March 14, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69b50863e4a08190bd54274b2212abfc completed March 14, 2026, 7:04 a.m.
Created at: March 9, 2026, 3:19 p.m.