Triple

T20705642
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Police University College E508896 entity
Predicate abbreviation P43 FINISHED
Object PHS
PHS is the Norwegian Police University College, the national institution responsible for educating and training police officers in Norway.
E1445991 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: PHS | Statement: [Norwegian Police University College, abbreviation, PHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PHS
Context triple: [Norwegian Police University College, abbreviation, PHS]
  • A. PHS
    PHS is a South African secondary school known formally as Hoërskool Pietersburg, offering Afrikaans and often dual-medium education in the city of Polokwane (formerly Pietersburg).
  • B. PHC
    PHC is the commonly used abbreviation for the Patna High Court, the high court of the Indian state of Bihar.
  • C. PHC
    PHC is the IATA airport code for Port Harcourt International Airport in Rivers State, Nigeria.
  • D. PH-SUR
    PH-SUR is the ISO 3166-2:PH subdivision code assigned to the Philippine province of Surigao del Sur.
  • E. PHE
    PHE is the acronym for Public Health England, the former executive agency of the UK government responsible for protecting and improving the nation’s health and wellbeing.
  • 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: PHS
Triple: [Norwegian Police University College, abbreviation, PHS]
Generated description
PHS is the Norwegian Police University College, the national institution responsible for educating and training police officers in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PHS
Target entity description: PHS is the Norwegian Police University College, the national institution responsible for educating and training police officers in Norway.
  • A. PHS
    PHS is a South African secondary school known formally as Hoërskool Pietersburg, offering Afrikaans and often dual-medium education in the city of Polokwane (formerly Pietersburg).
  • B. PHC
    PHC is the commonly used abbreviation for the Patna High Court, the high court of the Indian state of Bihar.
  • C. PHC
    PHC is the IATA airport code for Port Harcourt International Airport in Rivers State, Nigeria.
  • D. PH-SUR
    PH-SUR is the ISO 3166-2:PH subdivision code assigned to the Philippine province of Surigao del Sur.
  • E. PHE
    PHE is the acronym for Public Health England, the former executive agency of the UK government responsible for protecting and improving the nation’s health and wellbeing.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18fc8ec8190b020d540ae334c16 completed April 21, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7f268688190a21d24d474c6a0c2 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08da96db5c8190a6ebcb02dac005ae completed May 16, 2026, 8:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08db03b1008190893b27189731e134 completed May 16, 2026, 9 p.m.
Created at: April 16, 2026, 12:13 p.m.