Triple

T7653395
Position Surface form Disambiguated ID Type / Status
Subject Capelle aan den IJssel E173315 entity
Predicate hasMetroStation P522 FINISHED
Object Slotlaan
Slotlaan is a metro station in the Dutch city of Capelle aan den IJssel, serving as part of the Rotterdam metro network.
 E678931 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: Slotlaan | Statement: [Capelle aan den IJssel, hasMetroStation, Slotlaan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slotlaan
Context triple: [Capelle aan den IJssel, hasMetroStation, Slotlaan]
  • A. Damrak
    Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
  • B. Salcha
    Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
  • C. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • D. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • E. Tarouca
    Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
  • 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: Slotlaan
Triple: [Capelle aan den IJssel, hasMetroStation, Slotlaan]
Generated description
Slotlaan is a metro station in the Dutch city of Capelle aan den IJssel, serving as part of the Rotterdam metro network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slotlaan
Target entity description: Slotlaan is a metro station in the Dutch city of Capelle aan den IJssel, serving as part of the Rotterdam metro network.
  • A. Damrak
    Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
  • B. Salcha
    Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
  • C. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • D. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • E. Tarouca
    Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018c34a88190be6089a9105bd4b0 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89af47b9c819087d42f1b01c413fe completed March 29, 2026, 3:22 a.m.
NEDg Description generation batch_69c89bb9f1a8819097475a35328c6875 completed March 29, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69c89c20a9a4819087d678e40f5d0876 completed March 29, 2026, 3:27 a.m.
Created at: March 27, 2026, 3:59 p.m.