Triple

T12188461
Position Surface form Disambiguated ID Type / Status
Subject Operation Sandstone E290398 entity
Predicate testName P18903 FINISHED
Object Zebra E677113 NE 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: Zebra | Statement: [Operation Sandstone, testName, Zebra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zebra
Context triple: [Operation Sandstone, testName, Zebra]
  • A. zebra chosen
    A zebra is an African equid known for its distinctive black-and-white striped coat and social herd behavior on savannas and grasslands.
  • B. Gazelle
    Gazelle is a lethal, acrobatic assassin from the Kingsman film series, recognizable for her bladed prosthetic legs and role as Richmond Valentine’s chief enforcer.
  • C. Gazelle
    The Gazelle is a light, fast, and highly maneuverable French-designed military helicopter widely used for reconnaissance, light attack, and training missions.
  • D. Giraffa
    Giraffa is a genus of large African mammals best known for their extremely long necks and legs, comprising the various species of giraffes.
  • E. Oryx
    Oryx is a mysterious and resilient woman in Margaret Atwood’s dystopian novel "Oryx and Crake," whose traumatic past and complex relationships profoundly shape the story’s emotional and ethical core.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5102848190ad652c3d6445f65a completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6b0a84c8190ae593e368c13b5a5 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.