Triple

T26489734
Position Surface form Disambiguated ID Type / Status
Subject Møllehøj E669122 entity
Predicate hasManMadeStructureNearby P124983 FINISHED
Object Ejer Bavnehøj tower
Ejer Bavnehøj tower is an observation and memorial tower in eastern Jutland, Denmark, offering panoramic views from one of the country’s highest natural points.
 E1727111 NE FINISHED

How this triple was built (3 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: Ejer Bavnehøj tower | Statement: [Møllehøj, hasManMadeStructureNearby, Ejer Bavnehøj tower]
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: Ejer Bavnehøj tower
Triple: [Møllehøj, hasManMadeStructureNearby, Ejer Bavnehøj tower]
Generated description
Ejer Bavnehøj tower is an observation and memorial tower in eastern Jutland, Denmark, offering panoramic views from one of the country’s highest natural points.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasManMadeStructureNearby
Context triple: [Møllehøj, hasManMadeStructureNearby, Ejer Bavnehøj tower]
  • A. isMostDistantHumanMadeObject
    Indicates that the subject is the human-made object currently farthest from Earth (or from its point of origin).
  • B. hasNearbyRiverStructure
    Indicates that a river-related structure (such as a dam, bridge, or levee) is located close to the referenced entity.
  • C. hasNearbyInfrastructureType chosen
    Indicates that an entity is located close to infrastructure of a specified type.
  • D. builtNear
    Indicates that one entity was constructed at a location geographically close to another entity.
  • E. hasMainBuildingNear
    Indicates that the primary or central building associated with an entity is located in close physical proximity to another specified entity or place.
  • F. None of above.

Provenance (6 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_69eeb319007081909642b414b114b35a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69fd37b695c88190855801626f91c4cd completed May 8, 2026, 1:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb2aee64819090c632c565c4386a completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be60526c8190b073317c2a4e514b completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf2f222c8190ae2e6bcb73204856 completed May 23, 2026, 2:52 p.m.
PD Predicate disambiguation batch_69fd374cccf08190a230e87164af5938 completed May 8, 2026, 1:07 a.m.
Created at: April 27, 2026, 1:02 a.m.