Triple

T22589659
Position Surface form Disambiguated ID Type / Status
Subject Bristol Mercury E564907 entity
Predicate licenseBuiltBy P148842 FINISHED
Object NOHAB
NOHAB was a Swedish engineering company best known for manufacturing locomotives and other heavy machinery under license from major international firms.
 E1545143 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: NOHAB | Statement: [Bristol Mercury, licenseBuiltBy, NOHAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NOHAB
Context triple: [Bristol Mercury, licenseBuiltBy, NOHAB]
  • A. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • B. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • C. NOB
    NOB is the abbreviation for Dutch National Opera & Ballet, the leading institution for opera and ballet performances in the Netherlands.
  • D. Nohanent
    Nohanent is a small commune in central France’s Puy-de-Dôme department, near the city of Clermont-Ferrand.
  • E. NOU
    NOU is the IATA airport code for La Tontouta International Airport, the main international gateway to Nouméa in New Caledonia.
  • 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: NOHAB
Triple: [Bristol Mercury, licenseBuiltBy, NOHAB]
Generated description
NOHAB was a Swedish engineering company best known for manufacturing locomotives and other heavy machinery under license from major international firms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NOHAB
Target entity description: NOHAB was a Swedish engineering company best known for manufacturing locomotives and other heavy machinery under license from major international firms.
  • A. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • B. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • C. NOB
    NOB is the abbreviation for Dutch National Opera & Ballet, the leading institution for opera and ballet performances in the Netherlands.
  • D. Nohanent
    Nohanent is a small commune in central France’s Puy-de-Dôme department, near the city of Clermont-Ferrand.
  • E. NOU
    NOU is the IATA airport code for La Tontouta International Airport, the main international gateway to Nouméa in New Caledonia.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615f63788190acf776b313f0794a completed April 29, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d5c30a881908378d2b858c92e7e completed May 18, 2026, 4:25 p.m.
NEDg Description generation batch_6a0b3f67df248190ab877b91cfec6772 completed May 18, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3fe2ff80819099e665372b4e572b completed May 18, 2026, 4:35 p.m.
Created at: April 17, 2026, 2:48 p.m.