Triple

T3440058
Position Surface form Disambiguated ID Type / Status
Subject DVB-T E72542 entity
Predicate supportsGuardIntervals P48287 FINISHED
Object 1/4 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: 1/4 | Statement: [DVB-T, supportsGuardIntervals, 1/4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsGuardIntervals
Context triple: [DVB-T, supportsGuardIntervals, 1/4]
  • A. invariantInterval
    Indicates that a certain interval or range remains unchanged or constant under a specified transformation or set of conditions.
  • B. supportsTimescale
    Indicates that one entity is capable of operating with, accommodating, or being compatible with a specified timescale or range of temporal resolutions.
  • C. intervalAct
    Indicates an action or relationship that occurs over, or is defined by, a specific time interval between entities.
  • D. supportsTapOnTapOff
    Indicates that a system or service allows users to initiate and complete interactions or transactions by tapping a device or card at both the start and end of use.
  • E. hasCountingPeriod
    Indicates that there is a defined time span or interval over which occurrences, quantities, or measurements related to an entity are counted or aggregated.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f833e88190b5e813f115621a5f completed March 8, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69adae00ad588190bef24373b58a2e1a completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adaed74ecc8190b74dc70ab59a3e1c completed March 8, 2026, 5:16 p.m.
Created at: March 8, 2026, 3:16 p.m.