Triple

T1564804
Position Surface form Disambiguated ID Type / Status
Subject Planck time E33407 entity
Predicate symbol P129 FINISHED
Object t_P
t_P denotes the Planck time, the fundamental unit of time in physics derived from universal constants and representing the shortest meaningful interval in current physical theories.
 E176978 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: t_P | Statement: [Planck time, symbol, t_P]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: t_P
Context triple: [Planck time, symbol, t_P]
  • A. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • B. PT
    PT is the time standard used along the west coast of North America, including cities like Los Angeles, San Francisco, and Vancouver.
  • C. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • D. TPA
    TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
  • E. TPA
    TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
  • 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: t_P
Triple: [Planck time, symbol, t_P]
Generated description
t_P denotes the Planck time, the fundamental unit of time in physics derived from universal constants and representing the shortest meaningful interval in current physical theories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: t_P
Target entity description: t_P denotes the Planck time, the fundamental unit of time in physics derived from universal constants and representing the shortest meaningful interval in current physical theories.
  • A. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • B. PT
    PT is the time standard used along the west coast of North America, including cities like Los Angeles, San Francisco, and Vancouver.
  • C. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • D. TPA
    TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
  • E. TPA
    TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa621242188190a7e1deeada7688d8 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3719dfdc819085511f96f9f92dba completed March 8, 2026, 8:45 a.m.
NEDg Description generation batch_69ad37d59e94819085504ea25dfa8311 completed March 8, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad382b126c8190a308415bd6c4264b completed March 8, 2026, 8:49 a.m.
Created at: March 4, 2026, 7:27 p.m.