Triple

T1418446
Position Surface form Disambiguated ID Type / Status
Subject Northeast India E31969 entity
Predicate alsoKnownAs P39 FINISHED
Object NER
NER is a commonly used abbreviation for Northeast India, a culturally diverse and geographically distinct region of the country comprising its easternmost states.
 E162714 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: NER | Statement: [Northeast India, alsoKnownAs, NER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NER
Context triple: [Northeast India, alsoKnownAs, NER]
  • A. NE
    NE is the official two-letter United States Postal Service abbreviation used to designate the state of Nebraska.
  • B. NE
    NE is the Swiss vehicle registration code for the canton of Neuchâtel.
  • C. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • D. NE
    NE is the two-letter ISO 3166-1 alpha-2 country code assigned to Niger.
  • 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: NER
Triple: [Northeast India, alsoKnownAs, NER]
Generated description
NER is a commonly used abbreviation for Northeast India, a culturally diverse and geographically distinct region of the country comprising its easternmost states.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NER
Target entity description: NER is a commonly used abbreviation for Northeast India, a culturally diverse and geographically distinct region of the country comprising its easternmost states.
  • A. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • B. NE
    NE is the two-letter ISO 3166-1 alpha-2 country code assigned to Niger.
  • C. NE
    NE is the official two-letter United States Postal Service abbreviation used to designate the state of Nebraska.
  • D. NE
    NE is the Swiss vehicle registration code for the canton of Neuchâtel.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5857d6c8190902eecd7bb12cbaf completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace78168f481908133d74a52a7f6c9 completed March 8, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69aceb4ac6bc8190a3d0b44f922d5302 completed March 8, 2026, 3:21 a.m.
Created at: March 1, 2026, 7:59 p.m.