Triple

T400822
Position Surface form Disambiguated ID Type / Status
Subject Halden E9275 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Marker
Marker is a rural municipality in Viken county, southeastern Norway, known for its forests, lakes, and location near the Swedish border.
 E50824 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: Marker | Statement: [Halden, hasNeighbouringMunicipality, Marker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marker
Context triple: [Halden, hasNeighbouringMunicipality, Marker]
  • A. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • B. Marc
    Marc is the given name of Marc Andreessen, the influential American entrepreneur, software engineer, and venture capitalist known for co-creating the Mosaic web browser and co-founding Netscape and Andreessen Horowitz.
  • C. Markinch
    Markinch is a small historic town in Fife, Scotland, known for its ancient church and role as a local administrative and railway hub.
  • D. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • E. Mapai
    Mapai was a dominant left-wing labor Zionist political party in pre-state and early Israel that played a central role in founding and governing the country.
  • 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: Marker
Triple: [Halden, hasNeighbouringMunicipality, Marker]
Generated description
Marker is a rural municipality in Viken county, southeastern Norway, known for its forests, lakes, and location near the Swedish border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marker
Target entity description: Marker is a rural municipality in Viken county, southeastern Norway, known for its forests, lakes, and location near the Swedish border.
  • A. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • B. Marc
    Marc is the given name of Marc Andreessen, the influential American entrepreneur, software engineer, and venture capitalist known for co-creating the Mosaic web browser and co-founding Netscape and Andreessen Horowitz.
  • C. Markinch
    Markinch is a small historic town in Fife, Scotland, known for its ancient church and role as a local administrative and railway hub.
  • D. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • E. Mapai
    Mapai was a dominant left-wing labor Zionist political party in pre-state and early Israel that played a central role in founding and governing the country.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ee2c2d1881909aa1ccfaa4172b38 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a410410c108190990d4d5ef2e7ff61 completed March 1, 2026, 10:09 a.m.
NEDg Description generation batch_69a410ce17ac8190a3ac2325e36cf6b3 completed March 1, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69a41125951c8190accbf273ef677206 completed March 1, 2026, 10:12 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.