Triple

T13179095
Position Surface form Disambiguated ID Type / Status
Subject GBM E313677 entity
Predicate roleWithLAT P108909 FINISHED
Object provides low-energy coverage complementary to LAT 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: provides low-energy coverage complementary to LAT | Statement: [GBM, roleWithLAT, provides low-energy coverage complementary to LAT]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleWithLAT
Context triple: [GBM, roleWithLAT, provides low-energy coverage complementary to LAT]
  • A. libraryRole
    Indicates the specific function, responsibility, or position an entity holds within the context of a library.
  • B. authorityRole
    Indicates that one entity holds an official position or role that grants it authority or control over another entity or within a specific context.
  • C. roleWithCEP
    Indicates that an entity holds a specific role or function that is associated with a defined Contextualized Event or Process (CEP).
  • D. roleOnAtlasV
    Indicates that an entity holds a specific role or function in relation to the Atlas V launch vehicle or program.
  • E. lambdaRole
    Indicates that one entity functions as a lambda expression or anonymous functional role in relation to another entity within a logical or computational structure.
  • F. None of above. chosen

Provenance (4 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bc2c0c88190be357811aa8e828d completed April 10, 2026, 11:46 p.m.
PDg Predicate description generation batch_69d98ceeb22c8190a6be666031d9e5a4 completed April 10, 2026, 11:51 p.m.
Created at: April 9, 2026, 9:14 p.m.