Triple

T13106462
Position Surface form Disambiguated ID Type / Status
Subject Cloud Foundry E310854 entity
Predicate usesTechnology P1485 FINISHED
Object BOSH
BOSH is an open-source toolchain for release engineering, deployment, and lifecycle management of distributed cloud applications and infrastructure.
E1023370 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: BOSH | Statement: [Cloud Foundry, usesTechnology, BOSH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BOSH
Context triple: [Cloud Foundry, usesTechnology, BOSH]
  • A. Bosh
    Bosh is a surname most prominently associated with Chris Bosh, a retired American professional basketball player and two-time NBA champion.
  • B. BOH
    BOH is the three-letter IATA airport code for Bournemouth Airport in southern England.
  • C. BOE
    BOE is the commonly used abbreviation for the California Board of Equalization, a state agency historically responsible for tax administration and fee collection in California.
  • D. BOE
    BOE is the standard abbreviation for Biomedical Optics Express, a peer-reviewed scientific journal focusing on research in biomedical optics and photonics.
  • E. Byblus
    Byblus is the ancient Greek and Latin name for the Phoenician city of Gebal, one of the oldest continuously inhabited cities in the world, located in present-day Lebanon.
  • 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: BOSH
Triple: [Cloud Foundry, usesTechnology, BOSH]
Generated description
BOSH is an open-source toolchain for release engineering, deployment, and lifecycle management of distributed cloud applications and infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BOSH
Target entity description: BOSH is an open-source toolchain for release engineering, deployment, and lifecycle management of distributed cloud applications and infrastructure.
  • A. Bosh
    Bosh is a surname most prominently associated with Chris Bosh, a retired American professional basketball player and two-time NBA champion.
  • B. BOH
    BOH is the three-letter IATA airport code for Bournemouth Airport in southern England.
  • C. BOE
    BOE is the commonly used abbreviation for the California Board of Equalization, a state agency historically responsible for tax administration and fee collection in California.
  • D. BOE
    BOE is the standard abbreviation for Biomedical Optics Express, a peer-reviewed scientific journal focusing on research in biomedical optics and photonics.
  • E. Byblus
    Byblus is the ancient Greek and Latin name for the Phoenician city of Gebal, one of the oldest continuously inhabited cities in the world, located in present-day Lebanon.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98154c9f48190aeca779d97151759 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27a325c8190a5c0f1a582340078 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e6a8b15081908d80cd63b0c423f6 completed May 3, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_69f6e7490cc48190b596338cd3a0fd22 completed May 3, 2026, 6:12 a.m.
Created at: April 9, 2026, 9:05 p.m.