Triple

T7915366
Position Surface form Disambiguated ID Type / Status
Subject Gorinchem E183810 entity
Predicate hasDemonym P191 FINISHED
Object Gorcumer
A Gorcumer is a resident or native of the Dutch city of Gorinchem.
 E696892 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: Gorcumer | Statement: [Gorinchem, hasDemonym, Gorcumer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gorcumer
Context triple: [Gorinchem, hasDemonym, Gorcumer]
  • A. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • B. Golian
    Golian is a Slovak surname most notably associated with Ján Golian, a key military leader of the Slovak National Uprising during World War II.
  • C. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • D. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • E. Pomarance
    Pomarance is a historic Tuscan town in central Italy, known for its medieval architecture and proximity to the geothermal area of Larderello.
  • 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: Gorcumer
Triple: [Gorinchem, hasDemonym, Gorcumer]
Generated description
A Gorcumer is a resident or native of the Dutch city of Gorinchem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gorcumer
Target entity description: A Gorcumer is a resident or native of the Dutch city of Gorinchem.
  • A. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • B. Golian
    Golian is a Slovak surname most notably associated with Ján Golian, a key military leader of the Slovak National Uprising during World War II.
  • C. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • D. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • E. Pomarance
    Pomarance is a historic Tuscan town in central Italy, known for its medieval architecture and proximity to the geothermal area of Larderello.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5be54fdc81909a988114a6f30a13 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:05 p.m.