Triple

T6230918
Position Surface form Disambiguated ID Type / Status
Subject S7 E139349 entity
Predicate viaStation P64719 FINISHED
Object Springpfuhl
Springpfuhl is a railway station in Berlin, Germany, serving the S-Bahn suburban rail network.
E578118 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: Springpfuhl | Statement: [S7, viaStation, Springpfuhl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Springpfuhl
Context triple: [S7, viaStation, Springpfuhl]
  • A. Ueffelner Aue
    Ueffelner Aue is a small river in Lower Saxony, Germany, that flows through rural landscapes before joining the Hase.
  • B. Saaleck
    Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
  • C. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • D. Sasbach
    Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
  • E. Öhningen
    Öhningen is a municipality in southern Germany located on the western end of Lake Constance near the Swiss border, known for its scenic setting and prehistoric pile-dwelling sites.
  • 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: Springpfuhl
Triple: [S7, viaStation, Springpfuhl]
Generated description
Springpfuhl is a railway station in Berlin, Germany, serving the S-Bahn suburban rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Springpfuhl
Target entity description: Springpfuhl is a railway station in Berlin, Germany, serving the S-Bahn suburban rail network.
  • A. Ueffelner Aue
    Ueffelner Aue is a small river in Lower Saxony, Germany, that flows through rural landscapes before joining the Hase.
  • B. Saaleck
    Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
  • C. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • D. Sasbach
    Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
  • E. Öhningen
    Öhningen is a municipality in southern Germany located on the western end of Lake Constance near the Swiss border, known for its scenic setting and prehistoric pile-dwelling sites.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062ec5be4819084d6df2e8dd2a542 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20de90ba08190be1e0c44b5b13f53 completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c212d46f648190b72eb440d02178b8 completed March 24, 2026, 4:28 a.m.
NED2 Entity disambiguation (via description) batch_69c2138541608190a3ea346ff23974a3 completed March 24, 2026, 4:31 a.m.
Created at: March 22, 2026, 4:22 p.m.