Triple

T7308212
Position Surface form Disambiguated ID Type / Status
Subject Pratapgarh district, Uttar Pradesh E168028 entity
Predicate ISOCode P208 FINISHED
Object IN-UP
IN-UP is the ISO 3166-2 code that designates the Indian state of Uttar Pradesh.
 E655927 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: IN-UP | Statement: [Pratapgarh district, Uttar Pradesh, ISOCode, IN-UP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IN-UP
Context triple: [Pratapgarh district, Uttar Pradesh, ISOCode, IN-UP]
  • A. IN-TR
    IN-TR is the ISO 3166-2 code that uniquely identifies the Indian state of Tripura.
  • B. UPG
    UPG is the IATA airport code for Sultan Hasanuddin International Airport serving Makassar in South Sulawesi, Indonesia.
  • C. IN-AN
    IN-AN is the ISO 3166-2 code representing the Andaman and Nicobar Islands union territory of India.
  • D. Up! (album)
    Up! is a 2002 studio album by Canadian country-pop singer Shania Twain that showcases her blend of country and pop music across multiple genre-specific mixes.
  • E. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • 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: IN-UP
Triple: [Pratapgarh district, Uttar Pradesh, ISOCode, IN-UP]
Generated description
IN-UP is the ISO 3166-2 code that designates the Indian state of Uttar Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IN-UP
Target entity description: IN-UP is the ISO 3166-2 code that designates the Indian state of Uttar Pradesh.
  • A. IN-TR
    IN-TR is the ISO 3166-2 code that uniquely identifies the Indian state of Tripura.
  • B. UPG
    UPG is the IATA airport code for Sultan Hasanuddin International Airport serving Makassar in South Sulawesi, Indonesia.
  • C. IN-AN
    IN-AN is the ISO 3166-2 code representing the Andaman and Nicobar Islands union territory of India.
  • D. Up! (album)
    Up! is a 2002 studio album by Canadian country-pop singer Shania Twain that showcases her blend of country and pop music across multiple genre-specific mixes.
  • E. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebda7b748190a230a22ecea79342 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56443b08190aee2c26633cdcbed completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e97659a08190a548beda4d7d6d9f completed March 28, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69c7ea1847008190aae44d6eb9f572d4 completed March 28, 2026, 2:47 p.m.
Created at: March 27, 2026, 3:01 p.m.