Triple

T2858441
Position Surface form Disambiguated ID Type / Status
Subject Amstelveen E63258 entity
Predicate servedBy P82 FINISHED
Object Tram line 25
Tram line 25 is a Dutch tram route that connects Amsterdam with the nearby municipality of Amstelveen as part of the region’s public transport network.
 E305109 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: Tram line 25 | Statement: [Amstelveen, servedBy, Tram line 25]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tram line 25
Context triple: [Amstelveen, servedBy, Tram line 25]
  • A. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • B. Tram 12
    Tram 12 is a major tram line in Geneva’s public transport system, connecting key neighborhoods and suburbs across the city.
  • C. Tram 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • D. Tram 14
    Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
  • E. Tram 28 route
    The Tram 28 route is a historic Lisbon tram line famed for its vintage yellow trams and scenic journey through the city’s oldest neighborhoods, including Alfama.
  • 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: Tram line 25
Triple: [Amstelveen, servedBy, Tram line 25]
Generated description
Tram line 25 is a Dutch tram route that connects Amsterdam with the nearby municipality of Amstelveen as part of the region’s public transport network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tram line 25
Target entity description: Tram line 25 is a Dutch tram route that connects Amsterdam with the nearby municipality of Amstelveen as part of the region’s public transport network.
  • A. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • B. Tram 12
    Tram 12 is a major tram line in Geneva’s public transport system, connecting key neighborhoods and suburbs across the city.
  • C. Tram 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • D. Tram 14
    Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
  • E. Tram 28 route
    The Tram 28 route is a historic Lisbon tram line famed for its vintage yellow trams and scenic journey through the city’s oldest neighborhoods, including Alfama.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf89d3b4819086936f26d8683a2a completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d91f6448190866f6ee0491041cf completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b01e45f6e481908665e0961c3a3778 completed March 10, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69b0224832108190be252c0245d588d2 completed March 10, 2026, 1:53 p.m.
Created at: March 6, 2026, 10:02 p.m.