Triple

T26949587
Position Surface form Disambiguated ID Type / Status
Subject Isolatorweg metro station E678743 entity
Predicate terminusOf P3375 FINISHED
Object Amsterdam Metro Line 50
Amsterdam Metro Line 50 is an east–west rapid transit line in Amsterdam that connects the city’s western and southeastern districts, serving as part of the core backbone of the Amsterdam Metro network.
E1793127 NE FINISHED

How this triple was built (2 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: Amsterdam Metro Line 50 | Statement: [Isolatorweg metro station, terminusOf, Amsterdam Metro Line 50]
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: Amsterdam Metro Line 50
Triple: [Isolatorweg metro station, terminusOf, Amsterdam Metro Line 50]
Generated description
Amsterdam Metro Line 50 is an east–west rapid transit line in Amsterdam that connects the city’s western and southeastern districts, serving as part of the core backbone of the Amsterdam Metro network.

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_69eeeb4e75f08190b14fc91ca4a91488 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6208934108190b9ae04c0ed2c4dde completed May 2, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1303221ac88190975647416daad4e2 completed May 24, 2026, 1:54 p.m.
NEDg Description generation batch_6a1303e852488190ad34cae264ed7752 completed May 24, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a130498a5748190bf5560d2cc95f478 completed May 24, 2026, 2 p.m.
Created at: April 27, 2026, 6:23 a.m.