Triple

T10951339
Position Surface form Disambiguated ID Type / Status
Subject LORAN E258732 entity
Predicate userEquipment P9919 FINISHED
Object LORAN receiver 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: LORAN receiver | Statement: [LORAN, userEquipment, LORAN receiver]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: userEquipment
Context triple: [LORAN, userEquipment, LORAN receiver]
  • A. usesEquipment
    Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
  • B. usesDevice chosen
    Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
  • C. featuresDevice
    Indicates that one entity includes, incorporates, or provides the other entity as a device within it or as part of its functionality.
  • D. deviceIndicates
    Indicates that a device provides a signal, status, or output that conveys information about a condition, event, or state.
  • E. device
    Indicates that one entity is a device used, controlled, or referenced by another entity in the relationship.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fc156c8190826e124c13ce7242 completed April 9, 2026, 9:27 a.m.
PD Predicate disambiguation batch_69d72e874f48819096ffa878f90c7d5b completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:23 p.m.