Triple

T4434674
Position Surface form Disambiguated ID Type / Status
Subject Buskerud E95618 entity
Predicate contains P35 FINISHED
Object Hurum
Hurum is a former municipality in southeastern Norway, located on the Hurum Peninsula between the Oslofjord and Drammensfjord.
 E440171 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: Hurum | Statement: [Buskerud, contains, Hurum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hurum
Context triple: [Buskerud, contains, Hurum]
  • A. Hansaray
    Hansaray is a historic Crimean Tatar palace complex in Bakhchisarai that served as the residence of the Crimean Khans and a major cultural and political center.
  • B. Hatra
    Hatra is an ancient fortified city in northern Iraq, renowned for its well-preserved blend of Hellenistic and Parthian architecture and its role as a major religious and trading center in the early centuries CE.
  • C. Havaş
    Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
  • D. Özdamar
    Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
  • E. Hamar
    Hamar is a town and municipality in Innlandet county, Norway, known for its rich Viking history and as a regional cultural and administrative center.
  • 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: Hurum
Triple: [Buskerud, contains, Hurum]
Generated description
Hurum is a former municipality in southeastern Norway, located on the Hurum Peninsula between the Oslofjord and Drammensfjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hurum
Target entity description: Hurum is a former municipality in southeastern Norway, located on the Hurum Peninsula between the Oslofjord and Drammensfjord.
  • A. Hansaray
    Hansaray is a historic Crimean Tatar palace complex in Bakhchisarai that served as the residence of the Crimean Khans and a major cultural and political center.
  • B. Hatra
    Hatra is an ancient fortified city in northern Iraq, renowned for its well-preserved blend of Hellenistic and Parthian architecture and its role as a major religious and trading center in the early centuries CE.
  • C. Havaş
    Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
  • D. Özdamar
    Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
  • E. Hamar
    Hamar is a town and municipality in Innlandet county, Norway, known for its rich Viking history and as a regional cultural and administrative center.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35588e99881908fea7b71a33e2bb6 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137378dc8190900c8fda2693c4da completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b61439a86c8190849c5af718ddc647 completed March 15, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69b614d6106c81908a601f540622f934 completed March 15, 2026, 2:09 a.m.
Created at: March 12, 2026, 11:31 p.m.