Triple

T2607816
Position Surface form Disambiguated ID Type / Status
Subject Common Berthing Mechanism (Cargo Dragon 1) E58702 entity
Predicate berthingMethod P14981 FINISHED
Object robotic arm capture and berthing 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: robotic arm capture and berthing | Statement: [Common Berthing Mechanism (Cargo Dragon 1), berthingMethod, robotic arm capture and berthing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: berthingMethod
Context triple: [Common Berthing Mechanism (Cargo Dragon 1), berthingMethod, robotic arm capture and berthing]
  • A. berthingSystem chosen
    Indicates a system or mechanism used to dock, moor, or secure one vehicle, vessel, or structure to another.
  • B. berthingOrDockingTarget
    Indicates that an entity serves as the location or structure where a vessel or vehicle is intended to berth or dock.
  • C. berthType
    Indicates the specific kind or category of berth associated with an entity, such as the type of sleeping or docking space provided.
  • D. mooredAt
    Indicates that one object, typically a vessel or floating structure, is secured or anchored at a specific location or facility.
  • E. determinedBerthIn
    Indicates that an entity has been assigned or allocated to a specific berth or docking position.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
PD Predicate disambiguation batch_69abd80ab7248190ba06ba14fe4c5638 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:49 p.m.