Triple

T124033
Position Surface form Disambiguated ID Type / Status
Subject Principia Mathematica E2507 entity
Predicate abbreviation P43 FINISHED
Object PM
PM is the standard abbreviation for *Principia Mathematica*, the landmark three-volume work on the foundations of mathematics and logic by Alfred North Whitehead and Bertrand Russell.
E13830 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: PM | Statement: [Principia Mathematica, abbreviation, PM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PM
Context triple: [Principia Mathematica, abbreviation, PM]
  • A. PV
    PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
  • B. PR
    PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
  • C. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • D. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • E. PS
    PS is the two-letter ISO 3166 country code assigned to the State of Palestine, used in international standards and country designation.
  • 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: PM
Triple: [Principia Mathematica, abbreviation, PM]
Generated description
PM is the standard abbreviation for *Principia Mathematica*, the landmark three-volume work on the foundations of mathematics and logic by Alfred North Whitehead and Bertrand Russell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PM
Target entity description: PM is the standard abbreviation for *Principia Mathematica*, the landmark three-volume work on the foundations of mathematics and logic by Alfred North Whitehead and Bertrand Russell.
  • A. PV
    PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
  • B. PR
    PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
  • C. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • D. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • E. PS
    PS is the two-letter ISO 3166 country code assigned to the State of Palestine, used in international standards and country designation.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a2573ce0ac8190b49fb31d3d475bf9 completed Feb. 28, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2982485348190b2b361aef7b42fc9 completed Feb. 28, 2026, 7:24 a.m.
NEDg Description generation batch_69a299032e748190b8f91ff2109c40fe completed Feb. 28, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69a29af5cf3c8190a88b5cbabea72cc5 completed Feb. 28, 2026, 7:36 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.