Triple

T15704584
Position Surface form Disambiguated ID Type / Status
Subject Eyserbosweg E380673 entity
Predicate hasNearbyClimb P120374 FINISHED
Object Gulperberg
Gulperberg is a notable hill in the Dutch province of Limburg, known for its steep cycling climb frequently featured in professional road races.
 E1172151 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: Gulperberg | Statement: [Eyserbosweg, hasNearbyClimb, Gulperberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gulperberg
Context triple: [Eyserbosweg, hasNearbyClimb, Gulperberg]
  • A. Olenka
    Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • B. Pyotr Basin
    Pyotr Basin was a Russian painter known for his large-scale historical and religious works, some of which adorn Saint Isaac's Cathedral in Saint Petersburg.
  • C. Gorely
    Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
  • D. Nordufer
    Nordufer is a street and riverside area in Berlin, Germany, running along the banks of the River Spree in the district of Wedding.
  • E. Onega
    Onega is a small town in Arkhangelsk Oblast, northwestern Russia, situated near the mouth of the Onega River on the White Sea coast.
  • 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: Gulperberg
Triple: [Eyserbosweg, hasNearbyClimb, Gulperberg]
Generated description
Gulperberg is a notable hill in the Dutch province of Limburg, known for its steep cycling climb frequently featured in professional road races.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gulperberg
Target entity description: Gulperberg is a notable hill in the Dutch province of Limburg, known for its steep cycling climb frequently featured in professional road races.
  • A. Olenka
    Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • B. Pyotr Basin
    Pyotr Basin was a Russian painter known for his large-scale historical and religious works, some of which adorn Saint Isaac's Cathedral in Saint Petersburg.
  • C. Gorely
    Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
  • D. Nordufer
    Nordufer is a street and riverside area in Berlin, Germany, running along the banks of the River Spree in the district of Wedding.
  • E. Onega
    Onega is a small town in Arkhangelsk Oblast, northwestern Russia, situated near the mouth of the Onega River on the White Sea coast.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142df48e8819083a48d3b7b3f7f5d completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff757997348190b29a9b55ba08169f completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff7653ccc08190b4b44b4f55344f65 completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76d21a148190bbe66c3ff12386f3 completed May 9, 2026, 6:02 p.m.
Created at: April 10, 2026, 4:45 a.m.