Triple

T12280667
Position Surface form Disambiguated ID Type / Status
Subject LLD E292709 entity
Predicate fullName P16 FINISHED
Object LLD linker E292709 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: LLD linker | Statement: [LLD, fullName, LLD linker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LLD linker
Context triple: [LLD, fullName, LLD linker]
  • A. LLD linker chosen
    LLD linker is LLVM’s high-performance, modern linker designed as a faster, drop-in replacement for traditional system linkers across multiple platforms.
  • B. LLDC
    LLDC is a public body responsible for the long-term planning, development, and management of the Queen Elizabeth Olympic Park and surrounding areas in east London following the 2012 Olympic Games.
  • C. LLD
    LLD is the LLVM project’s high-performance, modular linker designed as a drop-in replacement for traditional system linkers across multiple platforms.
  • D. LLD
    LLD is a doctoral-level law degree focused on advanced legal research and scholarship.
  • E. LLD
    LLD is the IATA airport code for Lydda Airport, the historical name for what is now Ben Gurion Airport near Tel Aviv, Israel.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e70dec8819098199fbb54d888c1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.