Triple

T19363602
Position Surface form Disambiguated ID Type / Status
Subject Chhata tehsil E484342 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object UP
UP is the vehicle registration code for the Indian state of Uttar Pradesh.
 E509513 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: [Chhata tehsil, hasVehicleRegistrationCode, UP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UP
Context triple: [Chhata tehsil, hasVehicleRegistrationCode, UP]
  • A. UP
    UP is the official vehicle registration code assigned to Sri Lanka’s Uva Province.
  • B. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • C. 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.
  • D. UP
    UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
  • E. 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.
  • 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: [Chhata tehsil, hasVehicleRegistrationCode, UP]
Generated description
UP is the vehicle registration code for the Indian state of Uttar Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UP
Target entity description: UP is the vehicle registration code for the Indian state of Uttar Pradesh.
  • A. UP chosen
    UP is the Indian state of Uttar Pradesh, the country’s most populous state and a major political and cultural center in northern India.
  • B. UP
    UP is the official vehicle registration code assigned to Sri Lanka’s Uva Province.
  • C. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • D. UP
    UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
  • E. UP
    UP is the commonly used abbreviation for the University of Primorska, a public university based in the coastal region of Slovenia.
  • F. None of above.

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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619a9ac68819082cf9deadf526156 completed April 20, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0724121ba48190b4246ddc8486eac0 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a0724b06e688190b33ff7c5a734661f completed May 15, 2026, 1:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0726b56b548190829a0ec5af6fb929 completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:34 p.m.