Triple

T6327676
Position Surface form Disambiguated ID Type / Status
Subject Differential GPS E141898 entity
Predicate correctionBroadcastMethods P70869 FINISHED
Object radio beacons 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: radio beacons | Statement: [Differential GPS, correctionBroadcastMethods, radio beacons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: correctionBroadcastMethods
Context triple: [Differential GPS, correctionBroadcastMethods, radio beacons]
  • A. alsoBroadcastOn
    Indicates that the same content is or was broadcast on an additional channel, station, or platform besides the primary one.
  • B. broadcastsTo
    Indicates that one entity transmits or disseminates information, signals, or content to another entity or group of entities.
  • C. laterBroadcastAs
    Indicates that a work or content was subsequently broadcast under a different title or identifier than it originally had.
  • D. oftenBroadcastBy
    Indicates that something (such as a program, message, or content) is frequently transmitted or aired by a particular broadcaster or channel.
  • E. originallyBroadcastIn
    Indicates that a broadcast (such as a TV or radio program) was first aired in a particular country, region, or market.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e9532081908277f10ec380a486 completed March 22, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69c060e7e2d48190af9d004236466788 completed March 22, 2026, 9:36 p.m.
PDg Predicate description generation batch_69c064c080148190a7c3218867f1f572 completed March 22, 2026, 9:53 p.m.
Created at: March 22, 2026, 4:29 p.m.