Triple

T5924175
Position Surface form Disambiguated ID Type / Status
Subject bs-platform E131763 entity
Predicate maintainerHistory P25617 FINISHED
Object originally maintained by Bloomberg engineers and contributors LITERAL 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: originally maintained by Bloomberg engineers and contributors | Statement: [bs-platform, maintainerHistory, originally maintained by Bloomberg engineers and contributors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maintainerHistory
Context triple: [bs-platform, maintainerHistory, originally maintained by Bloomberg engineers and contributors]
  • A. previousMaintainer chosen
    Indicates that one entity formerly held responsibility for maintaining another entity before the current maintainer.
  • B. historicallyControlledBy
    Indicates that an entity was under the control, rule, or governance of another entity during some period in the past.
  • C. ownershipHistory
    Indicates the sequence of past and present owners associated with an entity over time.
  • D. hasPrimaryMaintainer
    Indicates that one entity is the main person or organization responsible for maintaining or overseeing another entity.
  • E. upgradeHistory
    Indicates the record of changes where one version, state, or configuration has been replaced or improved by another over time.
  • F. None of above.

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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69c033541d108190a34d1fde2fe9dacb completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4 p.m.