Triple

T16550116
Position Surface form Disambiguated ID Type / Status
Subject Neckarsulm E402048 entity
Predicate isHeadquartersOf P62 FINISHED
Object Lidl
Lidl is a major German international discount supermarket chain known for its low prices and extensive network of stores across Europe and beyond.
 E1219422 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: Lidl | Statement: [Neckarsulm, isHeadquartersOf, Lidl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lidl
Context triple: [Neckarsulm, isHeadquartersOf, Lidl]
  • A. SPAR
    SPAR is an environmental protection division focused on preventing and responding to oil and hazardous substance spills.
  • B. Asda
    Asda is a major British supermarket and retail chain known for its low-cost groceries, general merchandise, and large-format stores across the United Kingdom.
  • C. Woolworths
    Woolworths is a major South African retail chain known for its upmarket food, clothing, and homeware offerings.
  • D. Woolworths
    Woolworths is a major Australian supermarket and grocery retail chain.
  • E. ALDI Nord
    ALDI Nord is a major German discount supermarket chain operating numerous stores across Europe.
  • 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: Lidl
Triple: [Neckarsulm, isHeadquartersOf, Lidl]
Generated description
Lidl is a major German international discount supermarket chain known for its low prices and extensive network of stores across Europe and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lidl
Target entity description: Lidl is a major German international discount supermarket chain known for its low prices and extensive network of stores across Europe and beyond.
  • A. SPAR
    SPAR is an environmental protection division focused on preventing and responding to oil and hazardous substance spills.
  • B. Asda
    Asda is a major British supermarket and retail chain known for its low-cost groceries, general merchandise, and large-format stores across the United Kingdom.
  • C. Woolworths
    Woolworths is a major South African retail chain known for its upmarket food, clothing, and homeware offerings.
  • D. Woolworths
    Woolworths is a major Australian supermarket and grocery retail chain.
  • E. ALDI Nord
    ALDI Nord is a major German discount supermarket chain operating numerous stores across Europe.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc451dc8190b571d5010f4017f4 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b6ca44819085145eb48356e7b4 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00687d228081909d0a39f2c23d4e4d completed May 10, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_6a006907419881909e8f71714bbe054a completed May 10, 2026, 11:16 a.m.
Created at: April 10, 2026, 5:15 a.m.