Triple

T11959024
Position Surface form Disambiguated ID Type / Status
Subject Apache License 2.0 with LLVM exceptions E284622 entity
Predicate governs P760 FINISHED
Object LLD
LLD is the LLVM project’s high-performance, modular linker designed as a drop-in replacement for traditional system linkers across multiple platforms.
 E956216 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: LLD | Statement: [Apache License 2.0 with LLVM exceptions, governs, LLD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LLD
Context triple: [Apache License 2.0 with LLVM exceptions, governs, LLD]
  • A. LLD
    LLD is a doctoral-level law degree focused on advanced legal research and scholarship.
  • B. LLD
    LLD is the IATA airport code for Lydda Airport, the historical name for what is now Ben Gurion Airport near Tel Aviv, Israel.
  • C. LL
    LL is the German vehicle registration code assigned to the district of Landsberg am Lech in Bavaria.
  • D. LL
    LL is a UK postcode area covering parts of North Wales, including towns such as Colwyn Bay, Llandudno, and Bangor.
  • E. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • 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: LLD
Triple: [Apache License 2.0 with LLVM exceptions, governs, LLD]
Generated description
LLD is the LLVM project’s high-performance, modular linker designed as a drop-in replacement for traditional system linkers across multiple platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LLD
Target entity description: LLD is the LLVM project’s high-performance, modular linker designed as a drop-in replacement for traditional system linkers across multiple platforms.
  • A. LLD
    LLD is a doctoral-level law degree focused on advanced legal research and scholarship.
  • B. LLD
    LLD is the IATA airport code for Lydda Airport, the historical name for what is now Ben Gurion Airport near Tel Aviv, Israel.
  • C. LL
    LL is the German vehicle registration code assigned to the district of Landsberg am Lech in Bavaria.
  • D. LL
    LL is a UK postcode area covering parts of North Wales, including towns such as Colwyn Bay, Llandudno, and Bangor.
  • E. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:45 p.m.