Triple

T26024172
Position Surface form Disambiguated ID Type / Status
Subject Zonnestein E647241 entity
Predicate partOfLine P6309 FINISHED
Object Amsterdam Metro Line 25
Amsterdam Metro Line 25 is a north–south tram-metro route in the Amsterdam metropolitan area, running between Amsterdam Zuid and Amstelveen Westwijk as part of the city’s upgraded light rail network.
E1763074 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 25 | Statement: [Zonnestein, partOfLine, Amsterdam Metro Line 25]
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 25
Triple: [Zonnestein, partOfLine, Amsterdam Metro Line 25]
Generated description
Amsterdam Metro Line 25 is a north–south tram-metro route in the Amsterdam metropolitan area, running between Amsterdam Zuid and Amstelveen Westwijk as part of the city’s upgraded light rail 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_69e77e8b60e88190a3b26c4f0032a2c2 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f605e8c0a08190a34cad51a19e92de completed May 2, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262405cb08190a3421cb53c97993d completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a126440683881909b462092139a79cf completed May 24, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a1264a5d7748190902dbe10317c00a8 completed May 24, 2026, 2:38 a.m.
Created at: April 22, 2026, 9:05 a.m.