Triple

T27560902
Position Surface form Disambiguated ID Type / Status
Subject ITU-T T.120 E695765 entity
Predicate includesPart P1393 FINISHED
Object T.139
T.139 is an ITU-T recommendation that defines protocols for real-time, reliable data conferencing over packet-based networks.
 E695765 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: T.139 | Statement: [ITU-T T.120, includesPart, T.139]
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: T.139
Triple: [ITU-T T.120, includesPart, T.139]
Generated description
T.139 is an ITU-T recommendation that defines protocols for real-time, reliable data conferencing over packet-based networks.

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_69ef5387e97c8190a9dab040d21cd048 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62fb974e08190a01b9c243e9e8193 completed May 2, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5ce8c78819084b8f6ae576acacb completed May 24, 2026, 9:33 a.m.
NEDg Description generation batch_6a12c6596d788190bc4d6ed7f0b6c378 completed May 24, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a12c6e8932c8190877f8f62c54526f7 completed May 24, 2026, 9:37 a.m.
Created at: April 27, 2026, 1:39 p.m.