Triple

T1924955
Position Surface form Disambiguated ID Type / Status
Subject Philipsdam E40807 entity
Predicate hasRoad P959 FINISHED
Object N257
N257 is a regional road in the Netherlands that connects to the Philipsdam and serves as part of the infrastructure linking the Zeeland and South Holland provinces.
 E215555 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: N257 | Statement: [Philipsdam, hasRoad, N257]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N257
Context triple: [Philipsdam, hasRoad, N257]
  • A. N571X
    N571X is the registration number assigned to NASA’s experimental X-57 Maxwell electric aircraft.
  • B. NA27
    NA27 is the 27th edition of the Nestle-Aland critical Greek New Testament, widely used as a scholarly standard for biblical studies and textual criticism.
  • C. N57
    N57 is a major Dutch roadway that runs across the Brouwersdam and other Delta Works structures, connecting coastal regions in the southwest of the Netherlands.
  • D. NA28
    NA28 is the 28th edition of the Nestle-Aland Novum Testamentum Graece, a critically established scholarly edition of the Greek New Testament widely used in academic and theological studies.
  • E. N84
    N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
  • 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: N257
Triple: [Philipsdam, hasRoad, N257]
Generated description
N257 is a regional road in the Netherlands that connects to the Philipsdam and serves as part of the infrastructure linking the Zeeland and South Holland provinces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N257
Target entity description: N257 is a regional road in the Netherlands that connects to the Philipsdam and serves as part of the infrastructure linking the Zeeland and South Holland provinces.
  • A. N571X
    N571X is the registration number assigned to NASA’s experimental X-57 Maxwell electric aircraft.
  • B. NA27
    NA27 is the 27th edition of the Nestle-Aland critical Greek New Testament, widely used as a scholarly standard for biblical studies and textual criticism.
  • C. N57
    N57 is a major Dutch roadway that runs across the Brouwersdam and other Delta Works structures, connecting coastal regions in the southwest of the Netherlands.
  • D. NA28
    NA28 is the 28th edition of the Nestle-Aland Novum Testamentum Graece, a critically established scholarly edition of the Greek New Testament widely used in academic and theological studies.
  • E. N84
    N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb260da088190ac53bfc9437e112b completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e881748190b00f125185e91271 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf494f0288190bf77285d18fcd3d9 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf51f49488190b9b0465b4da685c1 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.