Triple

T16027087
Position Surface form Disambiguated ID Type / Status
Subject Amstelveen E388742 entity
Predicate hasTramLine P17788 FINISHED
Object Tram line 5
Tram line 5 is a light rail/tram route in the Amsterdam metropolitan area that connects the city with the nearby municipality of Amstelveen.
 E1189200 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 5 | Statement: [Amstelveen, hasTramLine, Tram line 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tram line 5
Context triple: [Amstelveen, hasTramLine, Tram line 5]
  • A. Tram line 6
    Tram line 6 is one of Budapest’s busiest and most frequent tram routes, running along the Grand Boulevard and serving major hubs such as Nyugati tér.
  • B. Tram line 4
    Tram line 4 is one of Budapest’s busiest urban tram routes, running across the city center and connecting major hubs including Nyugati tér.
  • C. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • 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 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.
  • 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 5
Triple: [Amstelveen, hasTramLine, Tram line 5]
Generated description
Tram line 5 is a light rail/tram route in the Amsterdam metropolitan area that connects the city with the nearby municipality of Amstelveen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tram line 5
Target entity description: Tram line 5 is a light rail/tram route in the Amsterdam metropolitan area that connects the city with the nearby municipality of Amstelveen.
  • A. Tram line 6
    Tram line 6 is one of Budapest’s busiest and most frequent tram routes, running along the Grand Boulevard and serving major hubs such as Nyugati tér.
  • B. Tram line 4
    Tram line 4 is one of Budapest’s busiest urban tram routes, running across the city center and connecting major hubs including Nyugati tér.
  • C. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • 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 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.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18328707c8190b9a444c78faaaa04 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf33c6a881909284933ea3b7dd6e completed May 10, 2026, 12:20 a.m.
NEDg Description generation batch_69ffd01d545c8190a96cd888223c7fa9 completed May 10, 2026, 12:23 a.m.
NED2 Entity disambiguation (via description) batch_69ffd0b3d4b08190b1be30954d5d76c0 completed May 10, 2026, 12:26 a.m.
Created at: April 10, 2026, 4:56 a.m.