Triple

T19472873
Position Surface form Disambiguated ID Type / Status
Subject Planken E487167 entity
Predicate internetTLDOfCountry P11776 FINISHED
Object .li NE NERFINISHED

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: .li | Statement: [Planken, internetTLDOfCountry, .li]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: .li
Context triple: [Planken, internetTLDOfCountry, .li]
  • A. LI
    LI is the Roman numeral representing the number 51.
  • B. LI
    LI is the stock ticker symbol for Li Auto Inc., a Chinese electric vehicle manufacturer listed on the Nasdaq and Hong Kong stock exchanges.
  • C. LI chosen
    LI is the two-letter ISO 3166-1 alpha-2 country code for Liechtenstein.
  • D. LI
    LI is the common abbreviation for London Irish Rugby Football Club, a professional rugby union team historically based in London and associated with the Irish community.
  • E. Li
    Li is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633ea604c8190a2feacb709b7ca27 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.