Triple

T14942709
Position Surface form Disambiguated ID Type / Status
Subject Fifteen Storeys High supermarket E372569 entity
Predicate primaryLanguageOfWorkContext P93029 FINISHED
Object English LITERAL 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: English | Statement: [Fifteen Storeys High supermarket, primaryLanguageOfWorkContext, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageOfWorkContext
Context triple: [Fifteen Storeys High supermarket, primaryLanguageOfWorkContext, English]
  • A. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • B. primaryLanguageType
    Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
  • C. primaryLanguageIn chosen
    Indicates that a specified language is the main or official language used within a particular place, organization, or context.
  • D. primaryLanguageContact
    Indicates that one language serves as the main or dominant medium of communication in a particular contact situation between language communities.
  • E. primaryLanguageMarket
    Indicates that a particular language is the main or dominant language used within a given market or market segment.
  • F. None of above.

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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69de9a588c2c8190b1245a1c406f447c completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:38 a.m.