Triple

T2640834
Position Surface form Disambiguated ID Type / Status
Subject Oyo State E62860 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object OY
OY is the official vehicle registration code assigned to Oyo State in southwestern Nigeria.
 E286195 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: OY | Statement: [Oyo State, vehicleRegistrationCode, OY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OY
Context triple: [Oyo State, vehicleRegistrationCode, OY]
  • A. Oy
    Oy is a loyal, intelligent billy-bumbler companion to Roland Deschain’s ka-tet in Stephen King’s The Dark Tower series.
  • B. OZN
    OZN was a Polish political organization associated with the interwar Sanation regime, supporting its authoritarian and nationalist policies.
  • C. YOW
    YOW is the three-letter IATA airport code for Ottawa Macdonald–Cartier International Airport, the primary airport serving Canada’s capital city, Ottawa.
  • D. YEO
    YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • E. The Yo
    The Yo is a colloquial nickname for Youngstown, Ohio, often used by locals to refer to the city in a familiar, informal way.
  • 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: OY
Triple: [Oyo State, vehicleRegistrationCode, OY]
Generated description
OY is the official vehicle registration code assigned to Oyo State in southwestern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OY
Target entity description: OY is the official vehicle registration code assigned to Oyo State in southwestern Nigeria.
  • A. Oy
    Oy is a loyal, intelligent billy-bumbler companion to Roland Deschain’s ka-tet in Stephen King’s The Dark Tower series.
  • B. OZN
    OZN was a Polish political organization associated with the interwar Sanation regime, supporting its authoritarian and nationalist policies.
  • C. YOW
    YOW is the three-letter IATA airport code for Ottawa Macdonald–Cartier International Airport, the primary airport serving Canada’s capital city, Ottawa.
  • D. YEO
    YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • E. The Yo
    The Yo is a colloquial nickname for Youngstown, Ohio, often used by locals to refer to the city in a familiar, informal way.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fc8ee881908a9f6820d8934a62 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98bd689481908568d35baac1e065 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af99c237548190838559ccac95f1c5 completed March 10, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69af9a5938b48190820f37f2e2280438 completed March 10, 2026, 4:13 a.m.
Created at: March 6, 2026, 9:53 p.m.