Triple

T15564059
Position Surface form Disambiguated ID Type / Status
Subject Sequel System E371070 entity
Predicate component P35 FINISHED
Object SMRT Cell 1M E1164183 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: SMRT Cell 1M | Statement: [Sequel System, component, SMRT Cell 1M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMRT Cell 1M
Context triple: [Sequel System, component, SMRT Cell 1M]
  • A. SMRT Cell chosen
    SMRT Cell is a consumable sequencing chip used in Pacific Biosciences’ single-molecule real-time (SMRT) DNA sequencing platforms to capture and read individual DNA molecules.
  • B. Motorola C116
    The Motorola C116 is a basic, early-2000s GSM mobile phone known for its simplicity, durability, and suitability for low-level baseband experimentation.
  • C. CSMT
    CSMT (Chhatrapati Shivaji Maharaj Terminus) is a historic UNESCO World Heritage railway station and major transport hub in Mumbai, India.
  • D. Motorola C115
    The Motorola C115 is a basic, early-2000s GSM mobile phone known for its simplicity, durability, and suitability for low-level baseband experimentation.
  • E. Motorola C156
    The Motorola C156 is a basic early-2000s GSM mobile phone handset known for its simplicity and compatibility with open-source baseband projects like OsmocomBB.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddc66448190948280fb0c8d390c completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4046c08190a43bd5577a97f33d completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.