Triple

T17246714
Position Surface form Disambiguated ID Type / Status
Subject Province of Ogliastra E418644 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object OG
OG is the Italian vehicle registration code assigned to the former Province of Ogliastra in Sardinia.
 E1259158 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: OG | Statement: [Province of Ogliastra, vehicleRegistrationCode, OG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OG
Context triple: [Province of Ogliastra, vehicleRegistrationCode, OG]
  • A. OG
    OG is the vehicle registration code for the German district of Ortenaukreis in the state of Baden-Württemberg.
  • B. OG
    OG is the commonly used abbreviation for the Astronomical Observatory of the University of Warsaw, a major Polish center for astronomical research and education.
  • C. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • D. GD
    GD is the vehicle registration code assigned to the town of Aalen in the German state of Baden-Württemberg.
  • E. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • 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: OG
Triple: [Province of Ogliastra, vehicleRegistrationCode, OG]
Generated description
OG is the Italian vehicle registration code assigned to the former Province of Ogliastra in Sardinia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OG
Target entity description: OG is the Italian vehicle registration code assigned to the former Province of Ogliastra in Sardinia.
  • A. OG
    OG is the commonly used abbreviation for the Astronomical Observatory of the University of Warsaw, a major Polish center for astronomical research and education.
  • B. OG
    OG is the vehicle registration code for the German district of Ortenaukreis in the state of Baden-Württemberg.
  • C. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. GD
    GD is the vehicle registration code assigned to the town of Aalen in the German state of Baden-Württemberg.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e24a4508190bbcc70c36b2b9c13 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f744d8819099f10bbba364586d completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a01726ae14081909d11434e378d3e1c completed May 11, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a017525d8108190b2fff7d96beff345 completed May 11, 2026, 6:20 a.m.
Created at: April 10, 2026, 5:39 a.m.