Triple

T16389742
Position Surface form Disambiguated ID Type / Status
Subject Otago Polytechnic E398017 entity
Predicate abbreviation P43 FINISHED
Object OP
OP is the commonly used abbreviation for Otago Polytechnic, a New Zealand tertiary education institution known for its vocational and applied learning programs.
E1209921 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: OP | Statement: [Otago Polytechnic, abbreviation, OP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OP
Context triple: [Otago Polytechnic, abbreviation, OP]
  • A. OP
    OP is the official acronym for the Office of the President of the Philippines, the executive office that supports and assists the President in governing the country.
  • B. Opp
    Opp is a small city in southern Alabama known for its local festivals and role as a regional service and retail center for surrounding rural communities.
  • C. PO
    PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
  • D. PO
    PO is the vehicle registration code used on license plates for the city of Požarevac in Serbia.
  • E. PO
    PO is the commonly used abbreviation for Opole University of Technology, a technical university located in Opole, Poland.
  • 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: OP
Triple: [Otago Polytechnic, abbreviation, OP]
Generated description
OP is the commonly used abbreviation for Otago Polytechnic, a New Zealand tertiary education institution known for its vocational and applied learning programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OP
Target entity description: OP is the commonly used abbreviation for Otago Polytechnic, a New Zealand tertiary education institution known for its vocational and applied learning programs.
  • A. OP
    OP is the official acronym for the Office of the President of the Philippines, the executive office that supports and assists the President in governing the country.
  • B. Opp
    Opp is a small city in southern Alabama known for its local festivals and role as a regional service and retail center for surrounding rural communities.
  • C. PO
    PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
  • D. PO
    PO is the vehicle registration code used on license plates for the city of Požarevac in Serbia.
  • E. PO
    PO is the commonly used abbreviation for Opole University of Technology, a technical university located in Opole, Poland.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326414f44819093ebc11f1b63444c completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357167b881909a5182537ef973ce completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a003659af2481908ccf0cc65b673b8f completed May 10, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0037957d7c81908b517ebea0b70a5b completed May 10, 2026, 7:45 a.m.
Created at: April 10, 2026, 5:08 a.m.