Triple

T15578968
Position Surface form Disambiguated ID Type / Status
Subject Atari 2600 E374443 entity
Predicate graphicsChip P20530 FINISHED
Object TIA
TIA is the custom audio-visual chip in the Atari 2600 responsible for generating its distinctive graphics and sound.
 E1165853 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: TIA | Statement: [Atari 2600, graphicsChip, TIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TIA
Context triple: [Atari 2600, graphicsChip, TIA]
  • A. TIA
    TIA is the IATA airport code for Tirana International Airport, the main air gateway to Albania’s capital city.
  • B. TIA
    TIA is a leading U.S.-based trade association that develops standards and advocates for companies in the global information and communications technology (ICT) and telecommunications industry.
  • C. TAI
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • D. TAI
    TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
  • E. TTA
    TTA is the IATA airport code for Raleigh Executive Jetport, a general aviation airport serving the Raleigh, North Carolina area.
  • 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: TIA
Triple: [Atari 2600, graphicsChip, TIA]
Generated description
TIA is the custom audio-visual chip in the Atari 2600 responsible for generating its distinctive graphics and sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TIA
Target entity description: TIA is the custom audio-visual chip in the Atari 2600 responsible for generating its distinctive graphics and sound.
  • A. TIA
    TIA is the IATA airport code for Tirana International Airport, the main air gateway to Albania’s capital city.
  • B. TIA
    TIA is a leading U.S.-based trade association that develops standards and advocates for companies in the global information and communications technology (ICT) and telecommunications industry.
  • C. TAI
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • D. TAI
    TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
  • E. TTA
    TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e24064c8190b132c3092877fbfa completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4b3a8881909d41204a0b243461 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50ad13b88190adb51231ea967889 completed May 9, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69ff512549088190880a57fcf66914a8 completed May 9, 2026, 3:22 p.m.
Created at: April 10, 2026, 4:11 a.m.