Triple

T5893230
Position Surface form Disambiguated ID Type / Status
Subject Oss E131039 entity
Predicate hasSubmunicipality P747 FINISHED
Object Keent
Keent is a small rural hamlet in the Dutch province of North Brabant, known for its riverine landscape and nature restoration areas along the Maas.
 E554074 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: Keent | Statement: [Oss, hasSubmunicipality, Keent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keent
Context triple: [Oss, hasSubmunicipality, Keent]
  • A. Keen
    Keen is a surname of English origin borne by various notable individuals across fields such as acting, sports, and academia.
  • B. Kee
    Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
  • C. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • D. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • E. Kuper
    Kuper is a variant form of the name Cooper, typically used as a surname or given name.
  • 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: Keent
Triple: [Oss, hasSubmunicipality, Keent]
Generated description
Keent is a small rural hamlet in the Dutch province of North Brabant, known for its riverine landscape and nature restoration areas along the Maas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keent
Target entity description: Keent is a small rural hamlet in the Dutch province of North Brabant, known for its riverine landscape and nature restoration areas along the Maas.
  • A. Keen
    Keen is a surname of English origin borne by various notable individuals across fields such as acting, sports, and academia.
  • B. Kee
    Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
  • C. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • D. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • E. Kuper
    Kuper is a variant form of the name Cooper, typically used as a surname or given name.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c049fdb3e08190a72337ab4f48bc8e completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b15146888190ab86eaf9e565ee28 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b53ad6dc8190927653c470515963 completed March 23, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69c0b5de67208190b1dda9509767c2a7 completed March 23, 2026, 3:39 a.m.
Created at: March 22, 2026, 3:58 p.m.