Triple

T23015052
Position Surface form Disambiguated ID Type / Status
Subject Gleis 17 memorial E573009 entity
Predicate locatedAt P40 FINISHED
Object Berlin-Grunewald station
Berlin-Grunewald station is a railway station in Berlin historically known as a major deportation site for Jews during the Holocaust, now marked by the Gleis 17 memorial.
E1612508 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: Berlin-Grunewald station | Statement: [Gleis 17 memorial, locatedAt, Berlin-Grunewald station]
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: Berlin-Grunewald station
Triple: [Gleis 17 memorial, locatedAt, Berlin-Grunewald station]
Generated description
Berlin-Grunewald station is a railway station in Berlin historically known as a major deportation site for Jews during the Holocaust, now marked by the Gleis 17 memorial.

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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e3c0e08190a7ac747b056ec3ca completed April 29, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e39e7cc8190a83c00d7b9fccf01 completed May 21, 2026, 9:50 p.m.
NEDg Description generation batch_6a0f7f21e3608190b646947083391923 completed May 21, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7fc9437c8190999551269a49fb65 completed May 21, 2026, 9:57 p.m.
Created at: April 17, 2026, 3:51 p.m.