Triple

T7813654
Position Surface form Disambiguated ID Type / Status
Subject Terminal 5 (Berlin Brandenburg Airport) E180746 entity
Predicate IATAAirportServed P418 FINISHED
Object BER E71200 NE FINISHED

How this triple was built (2 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: BER | Statement: [Terminal 5 (Berlin Brandenburg Airport), IATAAirportServed, BER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BER
Context triple: [Terminal 5 (Berlin Brandenburg Airport), IATAAirportServed, BER]
  • A. BER chosen
    BER is Berlin Brandenburg Airport, the main international airport serving Germany’s capital region.
  • B. BER
    BER is the ICAO airline designator formerly used by the now-defunct German carrier Air Berlin.
  • C. BER
    BER is a U.S. Department of Energy research program that advances fundamental science on biological systems and environmental processes to address energy and climate challenges.
  • D. BEL
    BEL is the ICAO airline designator used to identify Brussels Airlines in international aviation operations.
  • E. BEL
    BEL is the commonly used abbreviation for Bharat Electronics Limited, an Indian state-owned aerospace and defense electronics company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf78f3d6481909841d64117f657e1 completed March 30, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc55e579e081909f5036dd33d64e38 completed March 31, 2026, 11:16 p.m.
Created at: March 30, 2026, 4:38 p.m.