Triple

T12711958
Position Surface form Disambiguated ID Type / Status
Subject Remo E303740 entity
Predicate alsoKnownAs P39 FINISHED
Object Remoland
Remoland is an alternate name or alias for the individual known as Remo.
E996852 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: Remoland | Statement: [Remo, alsoKnownAs, Remoland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remoland
Context triple: [Remo, alsoKnownAs, Remoland]
  • A. Dinkelland
    Dinkelland is a rural municipality in the eastern Netherlands, located in the Twente region of the province of Overijssel near the German border.
  • B. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • C. ’s-Gravenland
    ’s-Gravenland is a residential district in the Dutch city of Capelle aan den IJssel, located in the province of South Holland.
  • D. Harlingerland
    Harlingerland is a historic coastal region in East Frisia in northwestern Germany, known for its North Sea landscape, dike systems, and traditional Frisian culture.
  • E. Reiderland
    Reiderland was a former municipality in the province of Groningen in the northeastern Netherlands, later incorporated into the municipality of Oldambt.
  • 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: Remoland
Triple: [Remo, alsoKnownAs, Remoland]
Generated description
Remoland is an alternate name or alias for the individual known as Remo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Remoland
Target entity description: Remoland is an alternate name or alias for the individual known as Remo.
  • A. Dinkelland
    Dinkelland is a rural municipality in the eastern Netherlands, located in the Twente region of the province of Overijssel near the German border.
  • B. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • C. ’s-Gravenland
    ’s-Gravenland is a residential district in the Dutch city of Capelle aan den IJssel, located in the province of South Holland.
  • D. Harlingerland
    Harlingerland is a historic coastal region in East Frisia in northwestern Germany, known for its North Sea landscape, dike systems, and traditional Frisian culture.
  • E. Reiderland
    Reiderland was a former municipality in the province of Groningen in the northeastern Netherlands, later incorporated into the municipality of Oldambt.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96208fa6481909d6fd43654752a2d completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b8f43081909d4a8e4241c813a1 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672ac07908190bd2dfe90d55a13c1 completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67360b530819085d5db2aa0b7513d completed May 2, 2026, 9:57 p.m.
Created at: April 9, 2026, 5:23 p.m.