Triple

T5893218
Position Surface form Disambiguated ID Type / Status
Subject Oss E131039 entity
Predicate borderedBy P224 FINISHED
Object Landerd
Landerd is a former municipality in the Dutch province of North Brabant, known for its rural character and small villages such as Zeeland, Schaijk, and Reek.
 E554064 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: Landerd | Statement: [Oss, borderedBy, Landerd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Landerd
Context triple: [Oss, borderedBy, Landerd]
  • A. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • B. Langerak
    Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
  • C. Lansingerland
    Lansingerland is a Dutch municipality in the province of South Holland, known for its suburban communities and greenhouse horticulture near the city of Rotterdam.
  • D. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • E. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • 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: Landerd
Triple: [Oss, borderedBy, Landerd]
Generated description
Landerd is a former municipality in the Dutch province of North Brabant, known for its rural character and small villages such as Zeeland, Schaijk, and Reek.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Landerd
Target entity description: Landerd is a former municipality in the Dutch province of North Brabant, known for its rural character and small villages such as Zeeland, Schaijk, and Reek.
  • A. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • B. Langerak
    Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
  • C. Lansingerland
    Lansingerland is a Dutch municipality in the province of South Holland, known for its suburban communities and greenhouse horticulture near the city of Rotterdam.
  • D. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • E. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • 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_69c036b5c68481909fdcba428238c74d completed March 22, 2026, 6:36 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.