Triple

T32665721
Position Surface form Disambiguated ID Type / Status
Subject Establishing TLS over an existing HTTP connection E835150 entity
Predicate relatedTo P37 FINISHED
Object HTTP CONNECT method
The HTTP CONNECT method is an HTTP request method used to create a network tunnel, commonly for establishing TLS-encrypted connections through an HTTP proxy.
E2017976 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: HTTP CONNECT method | Statement: [Establishing TLS over an existing HTTP connection, relatedTo, HTTP CONNECT method]
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: HTTP CONNECT method
Triple: [Establishing TLS over an existing HTTP connection, relatedTo, HTTP CONNECT method]
Generated description
The HTTP CONNECT method is an HTTP request method used to create a network tunnel, commonly for establishing TLS-encrypted connections through an HTTP proxy.

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_69f349303ccc8190a70d0f6e8a21d3fb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c7a8a5b4819089deedf041d9351e completed May 3, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349eb4ab288190bd21b3bc8275b4c0 completed June 19, 2026, 1:43 a.m.
NEDg Description generation batch_6a349f1cf3288190ad3a15ae7016c12a completed June 19, 2026, 1:45 a.m.
NED2 Entity disambiguation (via description) batch_6a349f54fad881908d4fb08bf4d88008 completed June 19, 2026, 1:45 a.m.
Created at: May 1, 2026, 1:08 a.m.