Triple

T24573215
Position Surface form Disambiguated ID Type / Status
Subject Berlin S-Bahn line S9 E608018 entity
Predicate terminus P388 FINISHED
Object Berlin Brandenburg Airport Terminal 1-2
Berlin Brandenburg Airport Terminal 1-2 is the main passenger terminal complex of Berlin’s international airport, serving as a central hub for domestic and international air travel to and from the German capital.
E1090285 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 Brandenburg Airport Terminal 1-2 | Statement: [Berlin S-Bahn line S9, terminus, Berlin Brandenburg Airport Terminal 1-2]
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 Brandenburg Airport Terminal 1-2
Triple: [Berlin S-Bahn line S9, terminus, Berlin Brandenburg Airport Terminal 1-2]
Generated description
Berlin Brandenburg Airport Terminal 1-2 is the main passenger terminal complex of Berlin’s international airport, serving as a central hub for domestic and international air travel to and from the German capital.

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_69e2c4cdab6c8190aae6e5d3de55c95e completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a9269360819090c44f4483c3533c completed April 30, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10047462588190980ab36a8fbf1e8e completed May 22, 2026, 7:23 a.m.
NEDg Description generation batch_6a10060d1ab081909d164eaee17906dd completed May 22, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_6a10068e201081909510138c6caf24fa completed May 22, 2026, 7:32 a.m.
Created at: April 18, 2026, 2:28 a.m.