Triple

T22010777
Position Surface form Disambiguated ID Type / Status
Subject Mol E543566 entity
Predicate hasSubdivision P747 FINISHED
Object Donk
Donk is a locality or neighborhood that forms part of the municipality of Mol in Belgium.
E1513488 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: Donk | Statement: [Mol, hasSubdivision, Donk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donk
Context triple: [Mol, hasSubdivision, Donk]
  • A. Mr. DOB
    Mr. DOB is Takashi Murakami’s iconic cartoon-like character and recurring motif that blends Japanese pop culture with fine art in his Superflat style.
  • B. Douchebag
    "Douchebag" is a 2010 independent comedy-drama film directed by Drake Doremus that explores the strained relationship between two mismatched brothers on a pre-wedding road trip.
  • C. Doozer
    Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
  • D. Donnell
    Donnell is a masculine given name, most notably borne by American comedian and actor Donnell Rawlings.
  • E. Yank
    Yank is a central character in John Patrick's wartime drama "The Hasty Heart," portrayed as a tough, emotionally guarded American soldier whose interactions with fellow patients reveal his vulnerability and capacity for friendship.
  • 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: Donk
Triple: [Mol, hasSubdivision, Donk]
Generated description
Donk is a locality or neighborhood that forms part of the municipality of Mol in Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Donk
Target entity description: Donk is a locality or neighborhood that forms part of the municipality of Mol in Belgium.
  • A. Mr. DOB
    Mr. DOB is Takashi Murakami’s iconic cartoon-like character and recurring motif that blends Japanese pop culture with fine art in his Superflat style.
  • B. Douchebag
    "Douchebag" is a 2010 independent comedy-drama film directed by Drake Doremus that explores the strained relationship between two mismatched brothers on a pre-wedding road trip.
  • C. Doozer
    Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
  • D. Donnell
    Donnell is a masculine given name, most notably borne by American comedian and actor Donnell Rawlings.
  • E. Yank
    Yank is a central character in John Patrick's wartime drama "The Hasty Heart," portrayed as a tough, emotionally guarded American soldier whose interactions with fellow patients reveal his vulnerability and capacity for friendship.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a4338c8190836074d21bfbaf78 completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7378f3088190a38ae4ac5e44f41d completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a748c80b88190aaca0c0540c6f802 completed May 18, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7539f3308190a1ff50ad7cf89545 completed May 18, 2026, 2:11 a.m.
Created at: April 16, 2026, 8:22 p.m.