Triple

T21545381
Position Surface form Disambiguated ID Type / Status
Subject Nordmarka E531609 entity
Predicate hasAccessPoint P1985 FINISHED
Object Hakadal
Hakadal is a village area in Nittedal, Norway, known as a gateway to the Nordmarka forest and for its surrounding outdoor recreation opportunities.
 E1490672 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: Hakadal | Statement: [Nordmarka, hasAccessPoint, Hakadal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hakadal
Context triple: [Nordmarka, hasAccessPoint, Hakadal]
  • A. Hakha
    Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
  • B. Hakor
    Hakor was a pharaoh of ancient Egypt’s Twenty-ninth Dynasty, known for his efforts to maintain Egyptian independence against Persian domination.
  • C. Hakitia
    Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
  • D. Khoksa
    Khoksa is a town and administrative unit in western Bangladesh, situated within the Kushtia District of the Khulna Division.
  • E. Kahat
    Kahat is an ancient Near Eastern city, identified with the archaeological site of Tell Barri in northeastern Syria.
  • 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: Hakadal
Triple: [Nordmarka, hasAccessPoint, Hakadal]
Generated description
Hakadal is a village area in Nittedal, Norway, known as a gateway to the Nordmarka forest and for its surrounding outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hakadal
Target entity description: Hakadal is a village area in Nittedal, Norway, known as a gateway to the Nordmarka forest and for its surrounding outdoor recreation opportunities.
  • A. Hakha
    Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
  • B. Hakor
    Hakor was a pharaoh of ancient Egypt’s Twenty-ninth Dynasty, known for his efforts to maintain Egyptian independence against Persian domination.
  • C. Hakitia
    Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
  • D. Khoksa
    Khoksa is a town and administrative unit in western Bangladesh, situated within the Kushtia District of the Khulna Division.
  • E. Kahat
    Kahat is an ancient Near Eastern city, identified with the archaeological site of Tell Barri in northeastern Syria.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58e38808190888f3501cf4fff7c completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eedd845c819082acae7e6cd29f56 completed May 17, 2026, 4:37 p.m.
NEDg Description generation batch_6a09ef7271e081908a1cd70297376ae3 completed May 17, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a09f00ec300819082ee644a512a9cdf completed May 17, 2026, 4:42 p.m.
Created at: April 16, 2026, 6:28 p.m.