Triple

T19608957
Position Surface form Disambiguated ID Type / Status
Subject AIS E470678 entity
Predicate usesAccessScheme P5996 FINISHED
Object TDMA 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: TDMA | Statement: [AIS, usesAccessScheme, TDMA]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesAccessScheme
Context triple: [AIS, usesAccessScheme, TDMA]
  • A. usesScheme
    Indicates that one entity employs, follows, or is based on a particular scheme, method, or structured plan associated with another entity.
  • B. usesAccessMethod chosen
    Indicates that one entity employs or relies on a particular access method to reach, interact with, or retrieve another entity or resource.
  • C. hasScheme
    Indicates that one entity is associated with, defined by, or governed through a particular scheme, plan, or structured framework.
  • D. hasAccessTo
    Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
  • E. accessIs
    Indicates that one entity has the ability, permission, or means to reach, use, or interact with another entity or resource.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c964fc8190bd1cb60f4b233eaa completed April 20, 2026, 3:05 p.m.
PD Predicate disambiguation batch_69e514e166dc8190a0f147e0b4c8bbe7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.