Triple

T1932059
Position Surface form Disambiguated ID Type / Status
Subject Abbenes E40966 entity
Predicate hasISO3166-2Code P208 FINISHED
Object NL-NH
NL-NH is the ISO 3166-2 subdivision code for the Dutch province of North Holland.
E216235 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: NL-NH | Statement: [Abbenes, hasISO3166-2Code, NL-NH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NL-NH
Context triple: [Abbenes, hasISO3166-2Code, NL-NH]
  • A. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • B. NM
    NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
  • C. NL-NB
    NL-NB is the ISO 3166-2 code representing the Dutch province of North Brabant.
  • D. Merrimack, New Hampshire
    Merrimack, New Hampshire is a suburban town in southern New Hampshire known for its residential communities, local commerce, and proximity to the cities of Manchester and Nashua.
  • E. New Hampshire Bar
    The New Hampshire Bar is the professional organization and licensing authority for attorneys authorized to practice law in the state of New Hampshire.
  • 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: NL-NH
Triple: [Abbenes, hasISO3166-2Code, NL-NH]
Generated description
NL-NH is the ISO 3166-2 subdivision code for the Dutch province of North Holland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NL-NH
Target entity description: NL-NH is the ISO 3166-2 subdivision code for the Dutch province of North Holland.
  • A. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • B. NM
    NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
  • C. NL-NB
    NL-NB is the ISO 3166-2 code representing the Dutch province of North Brabant.
  • D. Merrimack, New Hampshire
    Merrimack, New Hampshire is a suburban town in southern New Hampshire known for its residential communities, local commerce, and proximity to the cities of Manchester and Nashua.
  • E. New Hampshire Bar
    The New Hampshire Bar is the professional organization and licensing authority for attorneys authorized to practice law in the state of New Hampshire.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb297ec2c819092ad62d72005223d completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f16d0c8190967862b68e6cc373 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf48412b08190b6ad0f3abf42a081 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf4f8f3c481909efcb6d632522e1a completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.