Triple

T1857002
Position Surface form Disambiguated ID Type / Status
Subject Mizoram E41724 entity
Predicate isoCode P189 FINISHED
Object IN-MZ
IN-MZ is the ISO 3166-2 code that uniquely identifies the Indian state of Mizoram.
 E207889 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-MZ | Statement: [Mizoram, isoCode, IN-MZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IN-MZ
Context triple: [Mizoram, isoCode, IN-MZ]
  • A. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • B. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • C. Chiado
    Chiado is a historic and upscale neighborhood in central Lisbon known for its elegant shops, cafés, theaters, and literary heritage.
  • D. Mogadouro
    Mogadouro is a municipality in northeastern Portugal known as one of the main areas where the Mirandese language is traditionally spoken.
  • E. Envigado
    Envigado is a city in northwestern Colombia that forms part of the Medellín metropolitan area and is known for its residential character and quality of life.
  • 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-MZ
Triple: [Mizoram, isoCode, IN-MZ]
Generated description
IN-MZ is the ISO 3166-2 code that uniquely identifies the Indian state of Mizoram.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IN-MZ
Target entity description: IN-MZ is the ISO 3166-2 code that uniquely identifies the Indian state of Mizoram.
  • A. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • B. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • C. Chiado
    Chiado is a historic and upscale neighborhood in central Lisbon known for its elegant shops, cafés, theaters, and literary heritage.
  • D. Mogadouro
    Mogadouro is a municipality in northeastern Portugal known as one of the main areas where the Mirandese language is traditionally spoken.
  • E. Envigado
    Envigado is a city in northwestern Colombia that forms part of the Medellín metropolitan area and is known for its residential character and quality of life.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb07fc5f08190a195a2f24d7b858a completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1cb5b708190a0b89b157ea9da58 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add2729498819082f6595c57f545a8 completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add32c32b08190be6624eefa2fa386 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:33 p.m.