Triple

T15015911
Position Surface form Disambiguated ID Type / Status
Subject DTCC E377958 entity
Predicate handlesAssetClass P28209 FINISHED
Object equities 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: equities | Statement: [DTCC, handlesAssetClass, equities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: handlesAssetClass
Context triple: [DTCC, handlesAssetClass, equities]
  • A. coversAssetClass chosen
    Indicates that one entity (such as a product, service, or policy) includes, applies to, or provides coverage for a specified asset class.
  • B. overseesAssetClass
    Indicates that one entity has responsibility for supervising, managing, or having authority over a particular asset class.
  • C. replicatesAssetClass
    Indicates that one financial instrument or entity is designed to mirror or track the performance and characteristics of a specified asset class.
  • D. hasAsset
    Indicates that one entity possesses, owns, or controls another entity as an asset.
  • E. mainAssetManaged
    Indicates that one entity is responsible for managing another entity that serves as the primary or main asset.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
PD Predicate disambiguation batch_69de9a6531a88190acde65199a477350 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:55 a.m.