Triple

T16738857
Position Surface form Disambiguated ID Type / Status
Subject OSG E406786 entity
Predicate usesNameType P1081 FINISHED
Object abbreviation 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: abbreviation | Statement: [OSG, usesNameType, abbreviation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesNameType
Context triple: [OSG, usesNameType, abbreviation]
  • A. nameType chosen
    Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
  • B. usesNameDueTo
    Indicates that one entity adopts or applies a particular name for another entity specifically because of some motivating reason, circumstance, or dependency.
  • C. usesNameForm
    Indicates that one entity adopts or applies a particular standardized form or variant of a name associated with another entity.
  • D. supportsNameType
    Indicates that one entity is capable of handling, recognizing, or being associated with a particular type or category of name.
  • E. namesakeType
    Indicates the specific kind or category of namesake relationship that exists between two entities (for example, one being named after the other as a person, place, event, or object).
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c3c808c8190b3300edeb7c7bca9 completed April 18, 2026, 2:59 p.m.
PD Predicate disambiguation batch_69e319c807788190901250ab6e0ca55f completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:20 a.m.