Triple

T14560951
Position Surface form Disambiguated ID Type / Status
Subject Inderhavnen E341662 entity
Predicate hasLocalName P6353 FINISHED
Object Inderhavnen
Inderhavnen is a central inner harbor area in Copenhagen, Denmark, known for its waterfront promenades, historic buildings, and maritime activity.
E1107594 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: Inderhavnen | Statement: [Inderhavnen, hasLocalName, Inderhavnen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inderhavnen
Context triple: [Inderhavnen, hasLocalName, Inderhavnen]
  • A. Vesterø Havn
    Vesterø Havn is a small coastal village and ferry port on the Danish island of Læsø in the Kattegat.
  • B. Amaliehaven
    Amaliehaven is a small waterfront park and fountain garden in central Copenhagen, known for its formal design and views of the harbor and Amalienborg Palace.
  • C. Ennore Port
    Ennore Port, now known as Kamarajar Port, is a major all-weather, coal-handling seaport located near Chennai on the eastern coast of India.
  • D. Thurø
    Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
  • E. Holbæk Harbor
    Holbæk Harbor is a waterfront marina and port area in the Danish town of Holbæk, known for its maritime activities, leisure facilities, and coastal views along Holbæk Fjord.
  • 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: Inderhavnen
Triple: [Inderhavnen, hasLocalName, Inderhavnen]
Generated description
Inderhavnen is a central inner harbor area in Copenhagen, Denmark, known for its waterfront promenades, historic buildings, and maritime activity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Inderhavnen
Target entity description: Inderhavnen is a central inner harbor area in Copenhagen, Denmark, known for its waterfront promenades, historic buildings, and maritime activity.
  • A. Vesterø Havn
    Vesterø Havn is a small coastal village and ferry port on the Danish island of Læsø in the Kattegat.
  • B. Amaliehaven
    Amaliehaven is a small waterfront park and fountain garden in central Copenhagen, known for its formal design and views of the harbor and Amalienborg Palace.
  • C. Ennore Port
    Ennore Port, now known as Kamarajar Port, is a major all-weather, coal-handling seaport located near Chennai on the eastern coast of India.
  • D. Thurø
    Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
  • E. Holbæk Harbor
    Holbæk Harbor is a waterfront marina and port area in the Danish town of Holbæk, known for its maritime activities, leisure facilities, and coastal views along Holbæk Fjord.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb389d0f48190a1d9d69456d1cbe1 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b1760481909119db555fd05429 completed May 8, 2026, 7:45 a.m.
NEDg Description generation batch_69fd95461940819085c7b24bc98e2821 completed May 8, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fd959a6a74819096ee02b9f6fe227b completed May 8, 2026, 7:49 a.m.
Created at: April 10, 2026, 1:23 a.m.