Triple

T24150308
Position Surface form Disambiguated ID Type / Status
Subject Unicode Technical Standards E598512 entity
Predicate includes P1393 FINISHED
Object Unicode Technical Standard #66
Unicode Technical Standard #66 is a Unicode specification that defines guidelines and mechanisms for securely processing and comparing Unicode text to prevent security issues such as spoofing and confusable characters.
E1660349 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: Unicode Technical Standard #66 | Statement: [Unicode Technical Standards, includes, Unicode Technical Standard #66]
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: Unicode Technical Standard #66
Triple: [Unicode Technical Standards, includes, Unicode Technical Standard #66]
Generated description
Unicode Technical Standard #66 is a Unicode specification that defines guidelines and mechanisms for securely processing and comparing Unicode text to prevent security issues such as spoofing and confusable characters.

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_69e288c9e488819093dd1acd91b08b8a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e00e025c81908cacfcfa0819c73f completed April 29, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a104867c3508190894b89de19b2c999 completed May 22, 2026, 12:13 p.m.
NEDg Description generation batch_6a1049149e648190803dd1d0fb8fb4a4 completed May 22, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_6a1049becb848190b035eff19c6cd5ad completed May 22, 2026, 12:19 p.m.
Created at: April 17, 2026, 11:30 p.m.