Triple

T16431872
Position Surface form Disambiguated ID Type / Status
Subject Wide Angle Topographic Sensor for Operations and eNgineering E399087 entity
Predicate abbreviation P43 FINISHED
Object WATSON E88914 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: WATSON | Statement: [Wide Angle Topographic Sensor for Operations and eNgineering, abbreviation, WATSON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WATSON
Context triple: [Wide Angle Topographic Sensor for Operations and eNgineering, abbreviation, WATSON]
  • A. WATSON chosen
    WATSON is a close-up imaging camera on NASA’s Perseverance rover used to examine the fine details of Martian rocks and surface materials.
  • B. Watson
    Watson is a common English surname borne by numerous notable figures, including scientists, artists, and public personalities.
  • C. Watson
    Watson is a residential suburb in Canberra, Australia, known for its proximity to natural reserves and easy access to the city’s northeastern bushland.
  • D. IBM Watson
    IBM Watson is IBM’s artificial intelligence platform known for its natural language processing, machine learning capabilities, and high-profile applications such as winning on Jeopardy! and powering enterprise AI solutions.
  • E. Bixby
    Bixby is a suburban city in northeastern Oklahoma, known for its rapid growth and agricultural roots within the Tulsa metropolitan area.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32b9dffe48190a23852f828af55d8 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f477674819093bcf9f0df43ebf9 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.