Triple

T32934018
Position Surface form Disambiguated ID Type / Status
Subject Seri Setia Mahkota E842477 entity
Predicate hasPostNominalsForRecipients P1610 FINISHED
Object SSM NE NERFINISHED

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: SSM | Statement: [Seri Setia Mahkota, hasPostNominalsForRecipients, SSM]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPostNominalsForRecipients
Context triple: [Seri Setia Mahkota, hasPostNominalsForRecipients, SSM]
  • A. hasPostNominal chosen
    Indicates that an entity is associated with a post-nominal title, abbreviation, or letters that follow a name to denote qualifications, honors, or status.
  • B. usesPostNominalsIn
    Indicates that an entity customarily appends specific post-nominal letters to its name within a given context or jurisdiction.
  • C. hasPostalSuccessor
    Indicates that one postal entity directly follows another in an ordered postal sequence, such as in routing, numbering, or service succession.
  • D. postNominalLetters
    Indicates that a person is associated with specific letters placed after their name to denote qualifications, honors, or professional affiliations.
  • E. hasEligibleRecipients
    Indicates that an entity has one or more recipients who meet the required criteria to receive a specified benefit, item, or action.
  • F. None of above.

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_69f34948adfc8190a937f1f622783c0b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fed09a12648190affcd9bacf7ca275 completed May 9, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69fecf91d6f481908deb60c965c433ed completed May 9, 2026, 6:09 a.m.
Created at: May 1, 2026, 1:20 a.m.