Triple

T568705
Position Surface form Disambiguated ID Type / Status
Subject TXL E13614 entity
Predicate replacedBy P101 FINISHED
Object BER
BER is Berlin Brandenburg Airport, the main international airport serving Germany’s capital region.
E71200 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: BER | Statement: [TXL, replacedBy, BER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BER
Context triple: [TXL, replacedBy, BER]
  • A. BEL
    BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
  • B. BE
    BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
  • C. Be
    "Be" is the critically acclaimed 2005 hip-hop album by Chicago rapper Common, celebrated for its soulful production by Kanye West and J Dilla and its introspective, socially conscious lyrics.
  • D. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • E. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • 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: BER
Triple: [TXL, replacedBy, BER]
Generated description
BER is Berlin Brandenburg Airport, the main international airport serving Germany’s capital region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BER
Target entity description: BER is Berlin Brandenburg Airport, the main international airport serving Germany’s capital region.
  • A. BEL
    BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
  • B. BE
    BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
  • C. Be
    "Be" is the critically acclaimed 2005 hip-hop album by Chicago rapper Common, celebrated for its soulful production by Kanye West and J Dilla and its introspective, socially conscious lyrics.
  • D. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • E. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b0406d481908af5fc7bc67103fb completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efd0d5b88190a8c0822800f48e2a completed March 2, 2026, 2:02 a.m.
NEDg Description generation batch_69a4f043efec8190a3f53ab2764252be completed March 2, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a4f3eb1e3481909aa2b8290ed99e49 completed March 2, 2026, 2:20 a.m.
Created at: March 1, 2026, 7:33 p.m.