Triple

T7032740
Position Surface form Disambiguated ID Type / Status
Subject Goldmont E163307 entity
Predicate codename P2980 FINISHED
Object Goldmont E163307 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: Goldmont | Statement: [Goldmont, codename, Goldmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldmont
Context triple: [Goldmont, codename, Goldmont]
  • A. Goldmont chosen
    Goldmont is an Intel low-power CPU microarchitecture designed to improve performance and efficiency in Atom-based processors for mobile and embedded devices.
  • B. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • C. Dunvant
    Dunvant is a suburban village and community in the City and County of Swansea in south Wales.
  • D. Avallon
    Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
  • E. Hill of the Mines
    Hill of the Mines is the English meaning of the Spanish name "Cerro Las Minas," referring to a hill or mountain historically associated with mining activity.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2102f8c819080c983319307846a completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7885d83d4819099cc334dd2841f3b completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:36 p.m.