Triple

T22564721
Position Surface form Disambiguated ID Type / Status
Subject Gieten E557914 entity
Predicate hasRoadConnection P385 FINISHED
Object N33
N33 is a major Dutch regional highway in the northeastern Netherlands that connects several towns and motorways, facilitating north–south traffic in the region.
 E1542830 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: N33 | Statement: [Gieten, hasRoadConnection, N33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N33
Context triple: [Gieten, hasRoadConnection, N33]
  • A. N337
    N337 is a regional road in the Netherlands that connects the town of Wijhe with other nearby destinations.
  • B. 33N
    33N is the FAA location identifier for Delaware Airpark, a public-use general aviation airport in Delaware.
  • C. N363
    N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
  • D. N334AA
    N334AA was the Boeing 767-223ER aircraft operated by American Airlines that was hijacked and crashed into the North Tower of the World Trade Center during the September 11, 2001 terrorist attacks.
  • E. N367
    N367 is a regional road in the Netherlands that connects several towns in the province of Groningen, facilitating local and regional traffic.
  • 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: N33
Triple: [Gieten, hasRoadConnection, N33]
Generated description
N33 is a major Dutch regional highway in the northeastern Netherlands that connects several towns and motorways, facilitating north–south traffic in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N33
Target entity description: N33 is a major Dutch regional highway in the northeastern Netherlands that connects several towns and motorways, facilitating north–south traffic in the region.
  • A. N337
    N337 is a regional road in the Netherlands that connects the town of Wijhe with other nearby destinations.
  • B. 33N
    33N is the FAA location identifier for Delaware Airpark, a public-use general aviation airport in Delaware.
  • C. N363
    N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
  • D. N334AA
    N334AA was the Boeing 767-223ER aircraft operated by American Airlines that was hijacked and crashed into the North Tower of the World Trade Center during the September 11, 2001 terrorist attacks.
  • E. N367
    N367 is a regional road in the Netherlands that connects several towns in the province of Groningen, facilitating local and regional traffic.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fa8d8388190856198547d56dce6 completed April 29, 2026, 1:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b2d7325dc8190b207d175b8e80d42 completed May 18, 2026, 3:17 p.m.
NEDg Description generation batch_6a0b364801cc81908204a937c1099728 completed May 18, 2026, 3:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0b37998f888190bb53c2429760321a completed May 18, 2026, 4 p.m.
Created at: April 16, 2026, 8:52 p.m.