Triple

T7075555
Position Surface form Disambiguated ID Type / Status
Subject Berlin Gesundbrunnen E164808 entity
Predicate stationCode P1289 FINISHED
Object BGS
BGS is the station code for Berlin-Gesundbrunnen, a major railway and transport hub in Berlin, Germany.
E639905 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: BGS | Statement: [Berlin Gesundbrunnen, stationCode, BGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BGS
Context triple: [Berlin Gesundbrunnen, stationCode, BGS]
  • A. BGS
    BGS is the National Rail station code assigned to Bogston railway station in Scotland.
  • B. BGS
    BGS is the United Kingdom’s principal public-sector geoscience research organization, responsible for surveying, monitoring, and providing data on the nation’s geology and related Earth science hazards.
  • C. BGS GeoIndex
    BGS GeoIndex is an online mapping and data portal from the British Geological Survey that provides interactive access to a wide range of UK geological and geospatial datasets.
  • D. BGs
    BGs is an abbreviation commonly used to refer to the Bee Gees, the famous pop and disco music group formed by brothers Barry, Robin, and Maurice Gibb.
  • E. BnG
    BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
  • 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: BGS
Triple: [Berlin Gesundbrunnen, stationCode, BGS]
Generated description
BGS is the station code for Berlin-Gesundbrunnen, a major railway and transport hub in Berlin, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BGS
Target entity description: BGS is the station code for Berlin-Gesundbrunnen, a major railway and transport hub in Berlin, Germany.
  • A. BGS
    BGS is the United Kingdom’s principal public-sector geoscience research organization, responsible for surveying, monitoring, and providing data on the nation’s geology and related Earth science hazards.
  • B. BGS
    BGS is the National Rail station code assigned to Bogston railway station in Scotland.
  • C. BGS GeoIndex
    BGS GeoIndex is an online mapping and data portal from the British Geological Survey that provides interactive access to a wide range of UK geological and geospatial datasets.
  • D. BGs
    BGs is an abbreviation commonly used to refer to the Bee Gees, the famous pop and disco music group formed by brothers Barry, Robin, and Maurice Gibb.
  • E. BnG
    BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ce3d3c81908cbb912b256aadbf completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79468c7688190bf10433f05e77574 completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c79530c0588190826350a1cbcd5325 completed March 28, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69c795b1be18819087a4a70fc567bd80 completed March 28, 2026, 8:47 a.m.
Created at: March 27, 2026, 2:40 p.m.