Triple

T14185688
Position Surface form Disambiguated ID Type / Status
Subject Rotterdam Metro E351568 entity
Predicate hasLine P35 FINISHED
Object Line B
Line B is one of the main routes of the Rotterdam Metro rapid transit system, serving multiple districts and suburbs in and around Rotterdam.
 E1087727 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: Line B | Statement: [Rotterdam Metro, hasLine, Line B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line B
Context triple: [Rotterdam Metro, hasLine, Line B]
  • A. Line B
    Line B is one of the main tram routes in the Reims tramway network in Reims, France, providing urban public transport across key areas of the city.
  • B. Line B
    Line B is a major Mexico City Metro route that runs diagonally across the city, connecting central areas with northeastern suburbs and serving as an important commuter corridor.
  • C. Line B
    Line B is one of the main lines of the Buenos Aires Underground, running through key commercial and residential areas of the city.
  • D. Line B
    Line B is one of the main routes of the Strasbourg tramway network, serving key districts and connecting important transit hubs across the city.
  • E. Line B
    Line B is one of the main rapid transit lines of the Medellín Metro system, serving several neighborhoods in the Aburrá Valley metropolitan area.
  • 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: Line B
Triple: [Rotterdam Metro, hasLine, Line B]
Generated description
Line B is one of the main routes of the Rotterdam Metro rapid transit system, serving multiple districts and suburbs in and around Rotterdam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line B
Target entity description: Line B is one of the main routes of the Rotterdam Metro rapid transit system, serving multiple districts and suburbs in and around Rotterdam.
  • A. Line B
    Line B is one of the main routes of the Porto Metro light rail system in Porto, Portugal, connecting key suburban areas with the city center.
  • B. Line B
    Line B is one of the main lines of the Prague Metro system, running east–west across the city and serving numerous central and residential districts.
  • C. Line B
    Line B is one of the main routes of the Strasbourg tramway network, serving key districts and connecting important transit hubs across the city.
  • D. Line B
    Line B is one of the main lines of the Buenos Aires Underground, running through key commercial and residential areas of the city.
  • E. Line B
    Line B is one of the main rapid transit lines of the Medellín Metro system, serving several neighborhoods in the Aburrá Valley metropolitan area.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280656a881909c565b99e85ae9bd completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd29d254608190a9f0b8e5623451aa completed May 8, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd2aa5bf3c8190bb62ce780d417b7d completed May 8, 2026, 12:13 a.m.
Created at: April 10, 2026, 1:03 a.m.