Triple

T22929819
Position Surface form Disambiguated ID Type / Status
Subject Berlin Alexanderplatz station E569404 entity
Predicate hasStationCode P1289 FINISHED
Object BAP
BAP is the station code for Berlin Alexanderplatz, a major public transport hub in central Berlin, Germany.
 E1562731 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: BAP | Statement: [Berlin Alexanderplatz station, hasStationCode, BAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BAP
Context triple: [Berlin Alexanderplatz station, hasStationCode, BAP]
  • A. BASPO
    BASPO is the Swiss Federal Office of Sport, the national authority responsible for promoting and coordinating sports policy and physical activity in Switzerland.
  • B. PBAP
    PBAP (Phone Book Access Profile) is a Bluetooth profile that enables devices like car kits and headsets to access and manage a phone’s contacts and call history wirelessly.
  • C. BAF
    BAF is the service number prefix used to identify personnel of the Belgian Air Component (Belgian Air Force).
  • D. BPN
    BPN is the IATA airport code for Sultan Aji Muhammad Sulaiman Sepinggan International Airport serving Balikpapan in East Kalimantan, Indonesia.
  • E. BPN
    BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
  • 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: BAP
Triple: [Berlin Alexanderplatz station, hasStationCode, BAP]
Generated description
BAP is the station code for Berlin Alexanderplatz, a major public transport hub in central Berlin, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BAP
Target entity description: BAP is the station code for Berlin Alexanderplatz, a major public transport hub in central Berlin, Germany.
  • A. BASPO
    BASPO is the Swiss Federal Office of Sport, the national authority responsible for promoting and coordinating sports policy and physical activity in Switzerland.
  • B. PBAP
    PBAP (Phone Book Access Profile) is a Bluetooth profile that enables devices like car kits and headsets to access and manage a phone’s contacts and call history wirelessly.
  • C. BAF
    BAF is the service number prefix used to identify personnel of the Belgian Air Component (Belgian Air Force).
  • D. BPN
    BPN is the IATA airport code for Sultan Aji Muhammad Sulaiman Sepinggan International Airport serving Balikpapan in East Kalimantan, Indonesia.
  • E. BPN
    BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180dc33e8819099e5ad87207de57f completed April 29, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc24b30f8819095589b19878410e9 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc6459e7c81909bee77bb20dd144f completed May 19, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc6d47ed88190b6c2f0d445db60db completed May 19, 2026, 2:11 a.m.
Created at: April 17, 2026, 3:44 p.m.