Triple

T14489721
Position Surface form Disambiguated ID Type / Status
Subject 3/7 E359328 entity
Predicate hasComponent P35 FINISHED
Object Lima Company E398203 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: Lima Company | Statement: [3/7, hasComponent, Lima Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima Company
Context triple: [3/7, hasComponent, Lima Company]
  • A. Lima Company chosen
    Lima Company is a rifle company within the U.S. Marine Corps’ 3rd Battalion, 1st Marines, known for its infantry combat role.
  • B. Nazca Corporation
    Nazca Corporation was a Japanese video game developer best known for creating the run-and-gun arcade series Metal Slug before being absorbed into SNK.
  • C. Lima Agricultural Works
    Lima Agricultural Works was the original manufacturing company that evolved into the famed Lima Locomotive Works, an important American builder of steam locomotives.
  • D. Miramar Group
    Miramar Group is a Taiwanese conglomerate best known for its investments in retail, entertainment, and hospitality, including major shopping and leisure complexes.
  • E. John Company
    John Company is a historical nickname for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930bd1d48190abd6c47da0a3ebc8 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d90f86081908b25f3eb90042c73 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:20 a.m.