Triple

T17537483
Position Surface form Disambiguated ID Type / Status
Subject Immortalis E427098 entity
Predicate manufacturer P490 FINISHED
Object Arm Ltd. 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: Arm Ltd. | Statement: [Immortalis, manufacturer, Arm Ltd.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arm Ltd.
Context triple: [Immortalis, manufacturer, Arm Ltd.]
  • A. Arm Ltd. chosen
    Arm Ltd. is a British semiconductor and software design company best known for creating the ARM architecture used in the vast majority of the world’s mobile and embedded processors.
  • B. BL plc
    BL plc was a major British state-owned automotive manufacturer that produced a wide range of car brands before its restructuring into the Rover Group.
  • C. Britannia Industries
    Britannia Industries is one of India’s leading food companies, best known for its wide range of biscuits, dairy products, and bakery items sold under popular household brands.
  • D. Humber Limited
    Humber Limited was a British engineering and motor vehicle manufacturer known for producing bicycles, motorcycles, and cars in the late 19th and early 20th centuries.
  • E. Argos Limited
    Argos Limited is a major UK-based catalogue and online retailer known for its wide range of household goods, electronics, and toys.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536dbe908190ba7559f9561f05a2 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.