Triple

T1195113
Position Surface form Disambiguated ID Type / Status
Subject Markermeer E25650 entity
Predicate borderedBy P224 FINISHED
Object Edam
Edam is a historic Dutch town in North Holland, internationally known for its namesake Edam cheese and traditional cheese markets.
 E137272 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: Edam | Statement: [Markermeer, borderedBy, Edam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Edam
Context triple: [Markermeer, borderedBy, Edam]
  • A. Gouda
    Gouda is a historic Dutch city renowned worldwide for its namesake cheese, traditional cheese market, and well-preserved medieval architecture.
  • B. Munster cheese
    Munster cheese is a strong-smelling, soft cow’s milk cheese from eastern France, especially known for its washed rind and pungent, tangy flavor.
  • C. Cheshire cheese
    Cheshire cheese is a traditional, crumbly British cow's milk cheese from the county of Cheshire, known as one of England's oldest recorded cheese varieties.
  • D. Black Forest ham
    Black Forest ham is a traditional German dry-cured, smoked ham from the Black Forest region, prized for its dark exterior, distinctive smoky flavor, and protected regional designation.
  • E. Bega
    Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
  • 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: Edam
Triple: [Markermeer, borderedBy, Edam]
Generated description
Edam is a historic Dutch town in North Holland, internationally known for its namesake Edam cheese and traditional cheese markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Edam
Target entity description: Edam is a historic Dutch town in North Holland, internationally known for its namesake Edam cheese and traditional cheese markets.
  • A. Gouda
    Gouda is a historic Dutch city renowned worldwide for its namesake cheese, traditional cheese market, and well-preserved medieval architecture.
  • B. Munster cheese
    Munster cheese is a strong-smelling, soft cow’s milk cheese from eastern France, especially known for its washed rind and pungent, tangy flavor.
  • C. Cheshire cheese
    Cheshire cheese is a traditional, crumbly British cow's milk cheese from the county of Cheshire, known as one of England's oldest recorded cheese varieties.
  • D. Black Forest ham
    Black Forest ham is a traditional German dry-cured, smoked ham from the Black Forest region, prized for its dark exterior, distinctive smoky flavor, and protected regional designation.
  • E. Bega
    Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd78f61c8190bdba2255d35a8fe4 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7650de3c8190b2c246436a3d25b1 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac76e2df308190807cc6b7d7555e69 completed March 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac77585c708190b5f4b239d9574cd7 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:46 p.m.