Triple

T20788232
Position Surface form Disambiguated ID Type / Status
Subject Binz railway station E511697 entity
Predicate hasStationCode P1289 FINISHED
Object IBZ
IBZ is the station code for Binz railway station, a rail transport hub serving the seaside resort town of Binz in Germany.
 E544061 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: IBZ | Statement: [Binz railway station, hasStationCode, IBZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IBZ
Context triple: [Binz railway station, hasStationCode, IBZ]
  • A. IBZ
    IBZ is the IATA airport code for Ibiza Airport, the main international gateway to the Spanish island of Ibiza.
  • B. IBX
    IBX is the ICAO airline designator used to identify Ibex Airlines in international aviation operations.
  • C. IBI
    IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • D. IBBU
    IBBU is a Nigerian public university located in Lapai, Niger State, named after former military president Ibrahim Badamasi Babangida.
  • E. IBB
    IBB is the ICAO airline designator for Binter Canarias, a regional carrier based in the Canary Islands, Spain.
  • 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: IBZ
Triple: [Binz railway station, hasStationCode, IBZ]
Generated description
IBZ is the station code for Binz railway station, a rail transport hub serving the seaside resort town of Binz in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IBZ
Target entity description: IBZ is the station code for Binz railway station, a rail transport hub serving the seaside resort town of Binz in Germany.
  • A. IBZ chosen
    IBZ is the IATA airport code for Ibiza Airport, the main international gateway to the Spanish island of Ibiza.
  • B. IBX
    IBX is the ICAO airline designator used to identify Ibex Airlines in international aviation operations.
  • C. IBI
    IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • D. IBBU
    IBBU is a Nigerian public university located in Lapai, Niger State, named after former military president Ibrahim Badamasi Babangida.
  • E. IBB
    IBB is the ICAO airline designator for Binter Canarias, a regional carrier based in the Canary Islands, Spain.
  • F. None of above.

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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28dfb8c8190a10289c157a61c67 completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8ba7c00819083aa29efa82ad4aa completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f9588b7081908c0fad68c9a845dc completed May 16, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a08f9e50c6481908be5a61dab994012 completed May 16, 2026, 11:12 p.m.
Created at: April 16, 2026, 12:38 p.m.