Triple

T18530486
Position Surface form Disambiguated ID Type / Status
Subject Symfony Mailer E452818 entity
Predicate supportsTransport P11928 FINISHED
Object Postmark
Postmark is a cloud-based email delivery service focused on reliable transactional email sending, tracking, and analytics for applications and websites.
 E1328572 NE FINISHED

How this triple was built (4 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: Postmark | Statement: [Symfony Mailer, supportsTransport, Postmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Postmark
Context triple: [Symfony Mailer, supportsTransport, Postmark]
  • A. Posta
    Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
  • B. Postau
    Postau is a small municipality in Lower Bavaria, Germany, situated in the rural district of Landshut.
  • C. Mail Plus
    Mail Plus is a digital subscription service offering premium content, editions, and features associated with the Daily Mail and other DMG Media publications.
  • D. Maili
    Maili is a coastal residential community on the leeward side of Oahu in Hawaii, known for its beaches and local neighborhood character.
  • E. MessageLabs
    MessageLabs was a pioneering cloud-based email and web security services provider known for its anti-spam and anti-virus solutions for businesses.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Postmark
Triple: [Symfony Mailer, supportsTransport, Postmark]
Generated description
Postmark is a cloud-based email delivery service focused on reliable transactional email sending, tracking, and analytics for applications and websites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Postmark
Target entity description: Postmark is a cloud-based email delivery service focused on reliable transactional email sending, tracking, and analytics for applications and websites.
  • A. Posta
    Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
  • B. Postau
    Postau is a small municipality in Lower Bavaria, Germany, situated in the rural district of Landshut.
  • C. Mail Plus
    Mail Plus is a digital subscription service offering premium content, editions, and features associated with the Daily Mail and other DMG Media publications.
  • D. Maili
    Maili is a coastal residential community on the leeward side of Oahu in Hawaii, known for its beaches and local neighborhood character.
  • E. MessageLabs
    MessageLabs was a pioneering cloud-based email and web security services provider known for its anti-spam and anti-virus solutions for businesses.
  • F. None of above. chosen

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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fd0e348190ab3d4548f74b9b79 completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04917afbe08190921b6f8bce34596d completed May 13, 2026, 2:58 p.m.
NEDg Description generation batch_6a0491fa71f881909217ec68e5aca45d completed May 13, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a0492d4811c8190ad177b5d52aba66c completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:37 a.m.