Triple

T3797267
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Admirals E91601 entity
Predicate alsoKnownAs P39 FINISHED
Object Admirals
Admirals was a professional American football team based in Amsterdam that competed in NFL Europe.
 E389118 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: Admirals | Statement: [Amsterdam Admirals, alsoKnownAs, Admirals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Admirals
Context triple: [Amsterdam Admirals, alsoKnownAs, Admirals]
  • A. Admiral
    Admiral is a senior naval officer rank, typically the highest or among the highest in a navy, responsible for commanding large fleets and holding top-level strategic leadership roles.
  • B. Capitão-de-mar-e-guerra
    Capitão-de-mar-e-guerra is a senior Portuguese Navy officer rank equivalent to a captain in many other navies.
  • C. Commodore
    Commodore was a pioneering computer company best known for its influential home computers like the Commodore 64 and the Amiga line.
  • D. High Seas Fleet
    The High Seas Fleet was the main battle fleet of the Imperial German Navy during World War I, best known for its clashes with the British Royal Navy, including the Battle of Jutland.
  • E. Coronel
    Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
  • 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: Admirals
Triple: [Amsterdam Admirals, alsoKnownAs, Admirals]
Generated description
Admirals was a professional American football team based in Amsterdam that competed in NFL Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Admirals
Target entity description: Admirals was a professional American football team based in Amsterdam that competed in NFL Europe.
  • A. Admiral Shane
    Admiral Shane is a high-ranking U.S. Navy officer and key military leader in the science fiction action film "Battleship."
  • B. Admiral
    Admiral is a senior naval officer rank, typically the highest or among the highest in a navy, responsible for commanding large fleets and holding top-level strategic leadership roles.
  • C. Capitão-de-mar-e-guerra
    Capitão-de-mar-e-guerra is a senior Portuguese Navy officer rank equivalent to a captain in many other navies.
  • D. Commodore
    Commodore was a pioneering computer company best known for its influential home computers like the Commodore 64 and the Amiga line.
  • E. High Seas Fleet
    The High Seas Fleet was the main battle fleet of the Imperial German Navy during World War I, best known for its clashes with the British Royal Navy, including the Battle of Jutland.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a0818481909460197929ebb8e4 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f061a9e481908d16ae0aa44e2f16 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f25fab648190abbded4d44357c54 completed March 14, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69b4f314a63c8190a76ed8f4bd21eaf5 completed March 14, 2026, 5:33 a.m.
Created at: March 9, 2026, 3:15 p.m.