Triple

T11012853
Position Surface form Disambiguated ID Type / Status
Subject Amersfoort E260285 entity
Predicate locatedOnRiver P165 FINISHED
Object Eem
The Eem is a small river in the central Netherlands that flows through the city of Amersfoort before emptying into the Eemmeer.
 E900038 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: Eem | Statement: [Amersfoort, locatedOnRiver, Eem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eem
Context triple: [Amersfoort, locatedOnRiver, Eem]
  • A. Eemnes
    Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
  • B. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • C. Ema
    Ema is an Austronesian language spoken primarily in East Timor, also known as the Kemak language.
  • D. Eemskanaal
    Eemskanaal is a significant navigable waterway in the Dutch province of Groningen that connects the city of Groningen with the Ems estuary and the North Sea.
  • E. Erna
    Erna is the given name of Erna Schneider Hoover, an American mathematician and pioneering computer scientist known for revolutionizing telephone switching systems.
  • 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: Eem
Triple: [Amersfoort, locatedOnRiver, Eem]
Generated description
The Eem is a small river in the central Netherlands that flows through the city of Amersfoort before emptying into the Eemmeer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eem
Target entity description: The Eem is a small river in the central Netherlands that flows through the city of Amersfoort before emptying into the Eemmeer.
  • A. Eemnes
    Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
  • B. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • C. Ema
    Ema is an Austronesian language spoken primarily in East Timor, also known as the Kemak language.
  • D. Eemskanaal
    Eemskanaal is a significant navigable waterway in the Dutch province of Groningen that connects the city of Groningen with the Ems estuary and the North Sea.
  • E. Erna
    Erna is the given name of Erna Schneider Hoover, an American mathematician and pioneering computer scientist known for revolutionizing telephone switching systems.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7978b1e888190b297f107f6021b59 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374c238ac81908e0a5eff958d6545 completed April 18, 2026, 12:10 p.m.
NEDg Description generation batch_69e37ab6ca788190ac41f9494ad9a47f completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e37c9439fc8190a69cfb1a13da4c19 completed April 18, 2026, 12:44 p.m.
Created at: April 8, 2026, 9:25 p.m.