Triple

T22693708
Position Surface form Disambiguated ID Type / Status
Subject Radicut E561113 entity
Predicate usedFor P98 FINISHED
Object ALS 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: ALS | Statement: [Radicut, usedFor, ALS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALS
Context triple: [Radicut, usedFor, ALS]
  • A. ALS
    ALS is the IATA airport code for San Luis Valley Regional Airport serving Alamosa, Colorado.
  • B. ALS chosen
    ALS (amyotrophic lateral sclerosis) is a progressive neurodegenerative disease that affects nerve cells in the brain and spinal cord, leading to muscle weakness, paralysis, and ultimately respiratory failure.
  • C. ALS
    ALS is the abbreviation for the Army Legal Services Branch, the specialist legal branch of the British Army responsible for providing legal support and advice.
  • D. ALS
    ALS is a professional military education course in the U.S. Air Force that prepares junior enlisted airmen for supervisory and leadership responsibilities.
  • E. ALS
    ALS is a state-of-the-art synchrotron radiation facility at Lawrence Berkeley National Laboratory that produces intense X-ray and ultraviolet light for cutting-edge scientific research.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789c6ae481908975b7d27e7624ac completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.