Triple

T1980210
Position Surface form Disambiguated ID Type / Status
Subject J Sainsbury plc E43007 entity
Predicate brand P1500 FINISHED
Object Habitat
Habitat is a British home furnishings and furniture retailer known for its contemporary, design-led products.
 E221874 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: Habitat | Statement: [J Sainsbury plc, brand, Habitat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Habitat
Context triple: [J Sainsbury plc, brand, Habitat]
  • A. 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.
  • B. Woodlands
    Woodlands is a natural, forested area within Belle Isle Park that offers visitors scenic trails and a tranquil escape into nature.
  • C. Woodland
    Woodland is a small city in California’s Sacramento Valley known as an agricultural and administrative hub for Yolo County.
  • D. Birds Landing
    Birds Landing is a small unincorporated rural community in Solano County, California, known for its agricultural surroundings and nearby wind farms.
  • E. Life on Land
    Life on Land is a United Nations Sustainable Development Goal focused on protecting, restoring, and promoting the sustainable use of terrestrial ecosystems, forests, and biodiversity.
  • 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: Habitat
Triple: [J Sainsbury plc, brand, Habitat]
Generated description
Habitat is a British home furnishings and furniture retailer known for its contemporary, design-led products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Habitat
Target entity description: Habitat is a British home furnishings and furniture retailer known for its contemporary, design-led products.
  • A. 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.
  • B. Woodlands
    Woodlands is a natural, forested area within Belle Isle Park that offers visitors scenic trails and a tranquil escape into nature.
  • C. Woodland
    Woodland is a small city in California’s Sacramento Valley known as an agricultural and administrative hub for Yolo County.
  • D. Birds Landing
    Birds Landing is a small unincorporated rural community in Solano County, California, known for its agricultural surroundings and nearby wind farms.
  • E. Life on Land
    Life on Land is a United Nations Sustainable Development Goal focused on protecting, restoring, and promoting the sustainable use of terrestrial ecosystems, forests, and biodiversity.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb7c87bc081908ed179d1ca94fa3b completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032bc30c8190a136a634580571d9 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae039a7c948190b8b4b4c2045007d3 completed March 8, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69ae042728f48190850848116a371794 completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.