Triple

T791891
Position Surface form Disambiguated ID Type / Status
Subject Grevelingen E16931 entity
Predicate hasPort P35 FINISHED
Object Herkingen
Herkingen is a small Dutch village on the island of Goeree-Overflakkee in South Holland, known for its marina and water sports on the Grevelingenmeer.
 E126682 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: Herkingen | Statement: [Grevelingen, hasPort, Herkingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Herkingen
Context triple: [Grevelingen, hasPort, Herkingen]
  • A. Herkinge
    Herkinge is a small settlement located in the Dutch province of South Holland.
  • B. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Teylingen
    Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
  • E. Valkenburg
    Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North 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: Herkingen
Triple: [Grevelingen, hasPort, Herkingen]
Generated description
Herkingen is a small Dutch village on the island of Goeree-Overflakkee in South Holland, known for its marina and water sports on the Grevelingenmeer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Herkingen
Target entity description: Herkingen is a small Dutch village on the island of Goeree-Overflakkee in South Holland, known for its marina and water sports on the Grevelingenmeer.
  • A. Herkinge
    Herkinge is a small settlement located in the Dutch province of South Holland.
  • B. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Teylingen
    Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
  • E. Valkenburg
    Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a798c7608190b9c79c52a1fe0859 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4bfac5cc8190a5fba1c5da98391d completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4d1d58ac8190b1fc39a28aff8c46 completed March 7, 2026, 4:06 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d90c3dc819092f6be4888851477 completed March 7, 2026, 4:08 p.m.
Created at: March 1, 2026, 7:38 p.m.