Triple

T8297124
Position Surface form Disambiguated ID Type / Status
Subject Province of Groningen E194246 entity
Predicate ISOCode P208 FINISHED
Object NL-GR
NL-GR is the ISO 3166-2 code that uniquely identifies the Dutch province of Groningen.
E724381 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-GR | Statement: [Province of Groningen, ISOCode, NL-GR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NL-GR
Context triple: [Province of Groningen, ISOCode, NL-GR]
  • A. NL-GE
    NL-GE is the ISO 3166-2 code that designates the Dutch province of Gelderland.
  • B. ISO 3166-2:NL
    ISO 3166-2:NL is the section of the ISO 3166-2 standard that defines the official subdivision codes for the provinces and special municipalities of the Netherlands.
  • C. Drenthe, Netherlands
    Drenthe, Netherlands is a rural northeastern Dutch province known for its prehistoric dolmen tombs, extensive nature reserves, and quiet agricultural landscapes.
  • D. Netherlands
    The Netherlands is a Western European country known for its low-lying geography, extensive canal systems, and historically significant role in global trade and European politics.
  • E. Netherlands Randstad NO
    Netherlands Randstad NO is a regional map type covering the northeastern part of the Randstad metropolitan area in the Netherlands, used for geographic and transport mapping.
  • 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-GR
Triple: [Province of Groningen, ISOCode, NL-GR]
Generated description
NL-GR is the ISO 3166-2 code that uniquely identifies the Dutch province of Groningen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NL-GR
Target entity description: NL-GR is the ISO 3166-2 code that uniquely identifies the Dutch province of Groningen.
  • A. NL-GE
    NL-GE is the ISO 3166-2 code that designates the Dutch province of Gelderland.
  • B. ISO 3166-2:NL
    ISO 3166-2:NL is the section of the ISO 3166-2 standard that defines the official subdivision codes for the provinces and special municipalities of the Netherlands.
  • C. Drenthe, Netherlands
    Drenthe, Netherlands is a rural northeastern Dutch province known for its prehistoric dolmen tombs, extensive nature reserves, and quiet agricultural landscapes.
  • D. Netherlands
    The Netherlands is a Western European country known for its low-lying geography, extensive canal systems, and historically significant role in global trade and European politics.
  • E. Netherlands Randstad NO
    Netherlands Randstad NO is a regional map type covering the northeastern part of the Randstad metropolitan area in the Netherlands, used for geographic and transport mapping.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df887148190bddc2609bc885cb4 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68ad2f248190a1de95c01ddee259 completed April 1, 2026, 6:49 p.m.
NEDg Description generation batch_69cd6d574ba88190a2538897d201d8c4 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e536724819095ad006bc0f013a4 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:53 p.m.