Triple

T16582971
Position Surface form Disambiguated ID Type / Status
Subject Galle District E402880 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SP
SP is the vehicle registration code used on license plates for motor vehicles registered in Sri Lanka’s Galle District.
E1220942 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: SP | Statement: [Galle District, vehicleRegistrationCode, SP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SP
Context triple: [Galle District, vehicleRegistrationCode, SP]
  • A. SP
    SP is the common abbreviation for the Southern Pacific Railroad, a major historic American railroad that operated extensively in the western United States.
  • B. SP
    SP is the commonly used abbreviation for the Social Democratic Party of Switzerland, a major center-left political party in the country.
  • C. SP
    SP is the commonly used abbreviation for the Samajwadi Party, a major socialist-oriented political party in India.
  • D. SP
    SP is the vehicle registration code used on license plates for the city of Speyer in Germany.
  • E. SP
    SP is the commonly used abbreviation for the Felicity Party, a Turkish political party rooted in Islamist and conservative values.
  • 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: SP
Triple: [Galle District, vehicleRegistrationCode, SP]
Generated description
SP is the vehicle registration code used on license plates for motor vehicles registered in Sri Lanka’s Galle District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SP
Target entity description: SP is the vehicle registration code used on license plates for motor vehicles registered in Sri Lanka’s Galle District.
  • A. SP
    SP is the vehicle registration code used on license plates for the city of Speyer in Germany.
  • B. SP
    SP is the official two-letter abbreviation for the Brazilian state of São Paulo, widely used in vehicle registration plates and administrative codes.
  • C. SP
    SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
  • D. SP
    SP is the commonly used abbreviation for the Samajwadi Party, a major socialist-oriented political party in India.
  • E. SP
    SP is the commonly used abbreviation for the Felicity Party, a Turkish political party rooted in Islamist and conservative values.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35999088c8190900497f18728bd0b completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef2d6048190954144ab848760ec completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fc84390819083d9d2ac1c558827 completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a007068715c8190914ccac7b14103e4 completed May 10, 2026, 11:47 a.m.
Created at: April 10, 2026, 5:16 a.m.