Triple

T12116555
Position Surface form Disambiguated ID Type / Status
Subject Grootegast E288576 entity
Predicate hasSettlement P1068 FINISHED
Object Doezum
Doezum is a small village in the province of Groningen in the Netherlands, known for its rural character and historic church.
E965735 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: Doezum | Statement: [Grootegast, hasSettlement, Doezum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doezum
Context triple: [Grootegast, hasSettlement, Doezum]
  • A. Doboka
    Doboka is a town in the Nagaon district of Assam, India, known as a local commercial and transportation hub for the surrounding rural areas.
  • B. Douye
    Douye is a Nigerian politician who serves as the Governor of Bayelsa State.
  • C. Odzun
    Odzun is a historic village in Armenia’s Lori Province, known for its ancient basilica and scenic location on a plateau above the Debed River gorge.
  • D. Dobo
    Dobo is the main town and administrative center of the Aru Islands in Indonesia, serving as the region’s political and economic hub.
  • E. Baddo
    Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
  • 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: Doezum
Triple: [Grootegast, hasSettlement, Doezum]
Generated description
Doezum is a small village in the province of Groningen in the Netherlands, known for its rural character and historic church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doezum
Target entity description: Doezum is a small village in the province of Groningen in the Netherlands, known for its rural character and historic church.
  • A. Doboka
    Doboka is a town in the Nagaon district of Assam, India, known as a local commercial and transportation hub for the surrounding rural areas.
  • B. Douye
    Douye is a Nigerian politician who serves as the Governor of Bayelsa State.
  • C. Odzun
    Odzun is a historic village in Armenia’s Lori Province, known for its ancient basilica and scenic location on a plateau above the Debed River gorge.
  • D. Dobo
    Dobo is the main town and administrative center of the Aru Islands in Indonesia, serving as the region’s political and economic hub.
  • E. Baddo
    Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156921dc8190aa132b0ab3a7c184 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67f9c30819089305d5d42210c34 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdea1afc8190b39557fdc571e300 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeaf2e48190995f282b02a9caaf completed May 2, 2026, 1:40 p.m.
Created at: April 8, 2026, 9:49 p.m.