Triple

T6860040
Position Surface form Disambiguated ID Type / Status
Subject Noordenveld E158251 entity
Predicate hasVillage P4011 FINISHED
Object Norg
Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
E624558 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: Norg | Statement: [Noordenveld, hasVillage, Norg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norg
Context triple: [Noordenveld, hasVillage, Norg]
  • A. Nork
    Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
  • B. Noatun
    Noatun is the seaside home of the Norse sea god Njord, often depicted as a peaceful, ship-filled haven by the water.
  • C. Mykland
    Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • 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: Norg
Triple: [Noordenveld, hasVillage, Norg]
Generated description
Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norg
Target entity description: Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
  • A. Nork
    Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
  • B. Noatun
    Noatun is the seaside home of the Norse sea god Njord, often depicted as a peaceful, ship-filled haven by the water.
  • C. Mykland
    Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8737fac81909fc546ca2bf6a278 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fe79af081909baacbfd4d5e8f24 completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c7399b95e081908bbee3a598d6513c completed March 28, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c739f1b20c8190a8ef57357d4956b4 completed March 28, 2026, 2:16 a.m.
Created at: March 27, 2026, 2:21 p.m.