Triple

T14603619
Position Surface form Disambiguated ID Type / Status
Subject Chauri Chaura, Gorakhpur district, Uttar Pradesh E342768 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object UP
UP is the official 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: [Chauri Chaura, Gorakhpur district, Uttar Pradesh, vehicleRegistrationCode, UP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UP
Context triple: [Chauri Chaura, Gorakhpur district, Uttar Pradesh, 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 the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
  • 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 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 commonly used abbreviation for the University of Primorska, a public university based in the coastal region of Slovenia.
  • 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: [Chauri Chaura, Gorakhpur district, Uttar Pradesh, vehicleRegistrationCode, UP]
Generated description
UP is the official 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 official 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 standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • C. UP
    UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
  • D. UP
    UP is the commonly used abbreviation for the University of Primorska, a public university based in the coastal region of Slovenia.
  • E. 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.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43a1bb48190bf520cb961f15b5e completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ce6c208190a732f1a25700f07c completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd96756a7c81909b9f640b9208c8b2 completed May 8, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69fd972c0a488190bf2843a1f4b29d3a completed May 8, 2026, 7:56 a.m.
Created at: April 10, 2026, 1:25 a.m.