Triple

T12817898
Position Surface form Disambiguated ID Type / Status
Subject Binnenhof area, The Hague E306448 entity
Predicate borders P224 FINISHED
Object Lange Poten
Lange Poten is a central street in The Hague, Netherlands, known for its shops, offices, and proximity to key government buildings.
 E1004330 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: Lange Poten | Statement: [Binnenhof area, The Hague, borders, Lange Poten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lange Poten
Context triple: [Binnenhof area, The Hague, borders, Lange Poten]
  • A. Langebrug
    Langebrug is a historic bridge spanning the Spaarne River in the Dutch city of Haarlem.
  • B. Lange
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • C. Långlöt
    Långlöt is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
  • D. Langevåg
    Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
  • E. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • 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: Lange Poten
Triple: [Binnenhof area, The Hague, borders, Lange Poten]
Generated description
Lange Poten is a central street in The Hague, Netherlands, known for its shops, offices, and proximity to key government buildings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lange Poten
Target entity description: Lange Poten is a central street in The Hague, Netherlands, known for its shops, offices, and proximity to key government buildings.
  • A. Langebrug
    Langebrug is a historic bridge spanning the Spaarne River in the Dutch city of Haarlem.
  • B. Lange
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • C. Långlöt
    Långlöt is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
  • D. Langevåg
    Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
  • E. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9d00088190ac0f5d60e1de7a7c completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecee33c8190a6bf045731bb9326 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f691341d0081909ca3b281ee64b42b completed May 3, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69f692361c3c81909078a19be1a86231 completed May 3, 2026, 12:09 a.m.
Created at: April 9, 2026, 5:31 p.m.