Triple

T19044747
Position Surface form Disambiguated ID Type / Status
Subject Uva Province E466101 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object UP
UP is the official vehicle registration code assigned to Sri Lanka’s Uva Province.
E1355779 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: UP | Statement: [Uva Province, vehicleRegistrationCode, UP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UP
Context triple: [Uva Province, vehicleRegistrationCode, UP]
  • A. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • B. UP
    UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
  • C. UP
    UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
  • D. UP
    UP was a major South African political party that dominated the country’s politics for much of the mid-20th century before being displaced by the National Party.
  • E. UP
    UP is the Indian state of Uttar Pradesh, the country’s most populous state and a major political and cultural center in northern India.
  • 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: UP
Triple: [Uva Province, vehicleRegistrationCode, UP]
Generated description
UP is the official vehicle registration code assigned to Sri Lanka’s Uva Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UP
Target entity description: UP is the official vehicle registration code assigned to Sri Lanka’s Uva Province.
  • A. UP
    UP is the commonly used abbreviation for the University of Primorska, a public university based in the coastal region of Slovenia.
  • B. UP
    UP is the Indian state of Uttar Pradesh, the country’s most populous state and a major political and cultural center in northern India.
  • C. UP
    UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
  • D. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • E. UP
    UP is the commonly used abbreviation for the University of Patras, a major public university in Greece known for its research and academic programs.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d803b2b08190b057d4b5bc555d4f completed April 20, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c54f0fbc8190aa1c8d0cae900aec completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c7c2a60c819081cd60e47efd84c4 completed May 14, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_6a05c842970481909deba4dd02002bad completed May 14, 2026, 1:04 p.m.
Created at: April 10, 2026, 12:03 p.m.