Triple

T19223323
Position Surface form Disambiguated ID Type / Status
Subject Tesco E480672 entity
Predicate competitor P1375 FINISHED
Object Lidl E1219422 NE FINISHED

How this triple was built (2 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: [Tesco, competitor, Lidl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lidl
Context triple: [Tesco, competitor, Lidl]
  • A. Lidl chosen
    Lidl is a major German international discount supermarket chain known for its low prices and extensive network of stores across Europe and beyond.
  • B. SPAR
    SPAR is an environmental protection division focused on preventing and responding to oil and hazardous substance spills.
  • C. 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.
  • D. Morrisons
    Morrisons is one of the United Kingdom’s largest supermarket chains, offering groceries and household goods through an extensive network of stores and online services.
  • E. Woolworths
    Woolworths is a major South African retail chain known for its upmarket food, clothing, and homeware offerings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa95743481909314fd14e2c3d189 completed April 20, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705d1655c8190bac8cdf38d22ce2e completed May 15, 2026, 11:38 a.m.
Created at: April 10, 2026, 1:24 p.m.