Triple

T24130810
Position Surface form Disambiguated ID Type / Status
Subject TS 46-series E597946 entity
Predicate hasNumberingScheme P3378 FINISHED
Object TS 46.xx
TS 46.xx is a series of 3GPP technical specifications that define aspects of the GSM/GERAN radio interface and related technologies.
E1621228 NE 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: TS 46.xx | Statement: [TS 46-series, hasNumberingScheme, TS 46.xx]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TS 46.xx
Triple: [TS 46-series, hasNumberingScheme, TS 46.xx]
Generated description
TS 46.xx is a series of 3GPP technical specifications that define aspects of the GSM/GERAN radio interface and related technologies.

Provenance (5 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_69e288c808b881909fed7d18f04bcbbe completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1df7788788190a71ad080fc2890a8 completed April 29, 2026, 10:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad1f810881909a820e56ec13b58c completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fae6318c8819099bf0565a01b5312 completed May 22, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_6a0faf073c088190bbf21e4dd0434fc1 completed May 22, 2026, 1:19 a.m.
Created at: April 17, 2026, 11:24 p.m.