Triple

T9030240
Position Surface form Disambiguated ID Type / Status
Subject SMPTE ST 2084 E216149 entity
Predicate abbreviation P43 FINISHED
Object PQ
PQ is a perceptual quantizer electro-optical transfer function used in HDR video systems to map digital signal values to display luminance in a way that matches human visual perception.
 E772520 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: PQ | Statement: [SMPTE ST 2084, abbreviation, PQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PQ
Context triple: [SMPTE ST 2084, abbreviation, PQ]
  • A. PQI
    PQI is the IATA airport code for Northern Maine Regional Airport at Presque Isle in Maine, United States.
  • B. PNQ
    PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
  • C. PUQ
    PUQ is the IATA airport code for Presidente Carlos Ibáñez del Campo International Airport serving Punta Arenas in southern Chile.
  • D. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • E. PZ
    PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
  • 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: PQ
Triple: [SMPTE ST 2084, abbreviation, PQ]
Generated description
PQ is a perceptual quantizer electro-optical transfer function used in HDR video systems to map digital signal values to display luminance in a way that matches human visual perception.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PQ
Target entity description: PQ is a perceptual quantizer electro-optical transfer function used in HDR video systems to map digital signal values to display luminance in a way that matches human visual perception.
  • A. PQI
    PQI is the IATA airport code for Northern Maine Regional Airport at Presque Isle in Maine, United States.
  • B. PNQ
    PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
  • C. PUQ
    PUQ is the IATA airport code for Presidente Carlos Ibáñez del Campo International Airport serving Punta Arenas in southern Chile.
  • D. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • E. PZ
    PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9e0aa881908886f453c51ecd0e completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc662208190a3f4e6e593208c5c completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdceaa44c81909384939d651b9a61 completed April 3, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd75761c8190b17f97184ae07810 completed April 3, 2026, 3:32 p.m.
Created at: March 30, 2026, 7:08 p.m.