Triple

T12902237
Position Surface form Disambiguated ID Type / Status
Subject Innocence Network E308638 entity
Predicate abbreviation P43 FINISHED
Object IN
IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
 E1008500 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 | Statement: [Innocence Network, abbreviation, IN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IN
Context triple: [Innocence Network, abbreviation, IN]
  • A. IN
    IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
  • B. IN
    IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
  • C. INE
    INE is Chile’s National Statistics Institute, responsible for producing and disseminating official statistical information for the country.
  • D. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • E. NE
    NE is the commonly used abbreviation for Natural England, the UK government’s adviser on the natural environment in England.
  • 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
Triple: [Innocence Network, abbreviation, IN]
Generated description
IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IN
Target entity description: IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
  • A. IN
    IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
  • B. IN
    IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
  • C. INE
    INE is Chile’s National Statistics Institute, responsible for producing and disseminating official statistical information for the country.
  • D. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • E. NE
    NE is the commonly used abbreviation for Natural England, the UK government’s adviser on the natural environment in England.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971820e008190bf8bc7c392c8bcbb completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a563a84c8190a75d830653661518 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a641d1988190b9af41c8c7ca599e completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a7792f948190bb0b324bee0cd8ac completed May 3, 2026, 1:40 a.m.
Created at: April 9, 2026, 5:40 p.m.