Triple

T3967092
Position Surface form Disambiguated ID Type / Status
Subject Eisbären Berlin E92241 entity
Predicate abbreviation P43 FINISHED
Object EBB
EBB is the common abbreviation for Eisbären Berlin, a professional ice hockey team based in Berlin, Germany.
 E401632 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: EBB | Statement: [Eisbären Berlin, abbreviation, EBB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EBB
Context triple: [Eisbären Berlin, abbreviation, EBB]
  • A. EBBE
    EBBE is the ICAO airport code for Beauvechain Air Base, a military airfield in Belgium.
  • B. EBBR
    EBBR is the ICAO airport code for Brussels Airport, the main international airport serving Brussels, Belgium.
  • C. EGBB
    EGBB is the ICAO airport code for Birmingham Airport, a major international airport serving Birmingham and the West Midlands region of England.
  • D. EBBL
    EBBL is the ICAO airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • E. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • 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: EBB
Triple: [Eisbären Berlin, abbreviation, EBB]
Generated description
EBB is the common abbreviation for Eisbären Berlin, a professional ice hockey team based in Berlin, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EBB
Target entity description: EBB is the common abbreviation for Eisbären Berlin, a professional ice hockey team based in Berlin, Germany.
  • A. EBBE
    EBBE is the ICAO airport code for Beauvechain Air Base, a military airfield in Belgium.
  • B. EBBR
    EBBR is the ICAO airport code for Brussels Airport, the main international airport serving Brussels, Belgium.
  • C. EGBB
    EGBB is the ICAO airport code for Birmingham Airport, a major international airport serving Birmingham and the West Midlands region of England.
  • D. EBBL
    EBBL is the ICAO airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • E. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef976f4fc8190b2c16ab62c19cdb8 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533c189a88190b3a81c63621b98ac completed March 14, 2026, 10:09 a.m.
NEDg Description generation batch_69b5346fb3648190b2b72e10179588ed completed March 14, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69b534e98b8081909c2b71ff20fe0bb4 completed March 14, 2026, 10:14 a.m.
Created at: March 9, 2026, 3:32 p.m.