Triple

T5481598
Position Surface form Disambiguated ID Type / Status
Subject oneM2M E123477 entity
Predicate hasMember P10 FINISHED
Object TTA E23879 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: TTA | Statement: [oneM2M, hasMember, TTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TTA
Context triple: [oneM2M, hasMember, TTA]
  • A. TTA chosen
    TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
  • B. TAA
    TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
  • C. TT
    TT (Terrestrial Time) is a modern astronomical time standard used as the independent time variable in ephemerides and precise celestial mechanics, defined to provide a uniform time scale for observations from Earth's surface.
  • D. TT
    TT is the common abbreviation for the Isle of Man TT, a famous and notoriously dangerous annual motorcycle racing event held on the Isle of Man.
  • E. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd924a2eb08190b759b23a6eab5e0a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a2880c8190ad76cf8c3862aede completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.