Triple

T7944679
Position Surface form Disambiguated ID Type / Status
Subject Silver Lake Waterman E184469 entity
Predicate relatedTo P37 FINISHED
Object Silver Lake Sumeru E184468 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: Silver Lake Sumeru | Statement: [Silver Lake Waterman, relatedTo, Silver Lake Sumeru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Lake Sumeru
Context triple: [Silver Lake Waterman, relatedTo, Silver Lake Sumeru]
  • A. Silver Lake Sumeru chosen
    Silver Lake Sumeru is a growth-focused investment division of Silver Lake Partners that targets technology and technology-enabled businesses.
  • B. Arinagour
    Arinagour is the main village and administrative centre on the Scottish island of Coll in the Inner Hebrides.
  • C. Yamadera
    Yamadera is a historic mountainside temple complex in Japan’s Tohoku region, famed for its scenic cliffside halls and panoramic valley views.
  • D. Asagumo
    Asagumo was a Japanese destroyer of the Imperial Japanese Navy that saw action in World War II, including participation in major Pacific naval engagements.
  • E. Gorokan
    Gorokan is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to waterways and beaches.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0e84448190a7e8e0749776a592 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c19168c8190a42d9c679fe35c40 completed March 31, 2026, 5:31 a.m.
Created at: March 30, 2026, 5:09 p.m.