Triple

T230754
Position Surface form Disambiguated ID Type / Status
Subject Proton Synchrotron E4404 entity
Predicate abbreviation P43 FINISHED
Object PS
PS is a high-energy circular particle accelerator at CERN used to boost protons and other particles for physics experiments.
 E29599 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: PS | Statement: [Proton Synchrotron, abbreviation, PS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PS
Context triple: [Proton Synchrotron, abbreviation, PS]
  • A. PS
    PS is the two-letter ISO 3166 country code assigned to the State of Palestine, used in international standards and country designation.
  • B. PS
    PS is a major Portuguese political party traditionally associated with social democracy and center-left policies.
  • C. SP
    SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
  • D. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • E. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • 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: PS
Triple: [Proton Synchrotron, abbreviation, PS]
Generated description
PS is a high-energy circular particle accelerator at CERN used to boost protons and other particles for physics experiments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PS
Target entity description: PS is a high-energy circular particle accelerator at CERN used to boost protons and other particles for physics experiments.
  • A. PS
    PS is the two-letter ISO 3166 country code assigned to the State of Palestine, used in international standards and country designation.
  • B. PS
    PS is a major Portuguese political party traditionally associated with social democracy and center-left policies.
  • C. SP
    SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
  • D. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • E. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25cadae1c8190be0e8dcf33351187 completed Feb. 28, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35ea326608190be39ec5260c3dac3 completed Feb. 28, 2026, 9:31 p.m.
NEDg Description generation batch_69a35f0007208190acdfc17cd4bdf9b7 completed Feb. 28, 2026, 9:32 p.m.
NED2 Entity disambiguation (via description) batch_69a35f8565e081908ad0853151b57eba completed Feb. 28, 2026, 9:35 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.