Triple

T14420928
Position Surface form Disambiguated ID Type / Status
Subject Nvidia Maxwell E357580 entity
Predicate codename P2980 FINISHED
Object GM10x
GM10x is the internal codename for NVIDIA’s first-generation Maxwell GPU chips used in various GeForce 900-series graphics cards.
 E1099400 NE FINISHED

How this triple was built (4 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: GM10x | Statement: [Nvidia Maxwell, codename, GM10x]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GM10x
Context triple: [Nvidia Maxwell, codename, GM10x]
  • A. X10p EMU
    X10p EMU is a class of electric multiple unit trains used on Stockholm’s narrow-gauge Roslagsbanan commuter rail network.
  • B. TX-10
    TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
  • C. GA 100
    GA 100 is a state highway in Georgia that runs north–south through several counties, connecting small towns and local communities.
  • D. H10
    H10 is the shorthand name for Hilbert’s tenth problem, a famous decision problem in number theory concerning the solvability of Diophantine equations.
  • E. GMMX
    GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GM10x
Triple: [Nvidia Maxwell, codename, GM10x]
Generated description
GM10x is the internal codename for NVIDIA’s first-generation Maxwell GPU chips used in various GeForce 900-series graphics cards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GM10x
Target entity description: GM10x is the internal codename for NVIDIA’s first-generation Maxwell GPU chips used in various GeForce 900-series graphics cards.
  • A. X10p EMU
    X10p EMU is a class of electric multiple unit trains used on Stockholm’s narrow-gauge Roslagsbanan commuter rail network.
  • B. TX-10
    TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
  • C. GA 100
    GA 100 is a state highway in Georgia that runs north–south through several counties, connecting small towns and local communities.
  • D. H10
    H10 is the shorthand name for Hilbert’s tenth problem, a famous decision problem in number theory concerning the solvability of Diophantine equations.
  • E. GMMX
    GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
  • F. None of above. chosen

Provenance (5 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de910eb354819089d5d5a46919eb49 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcb131c8190935d9bacb1afc995 completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5e188a148190bb166b7d50ad3b46 completed May 8, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd5ea592cc8190a47a2f6a511c0549 completed May 8, 2026, 3:55 a.m.
Created at: April 10, 2026, 1:18 a.m.