Triple

T26138469
Position Surface form Disambiguated ID Type / Status
Subject Tahmid E659447 entity
Predicate primaryPhraseTranslation P194164 FINISHED
Object all praise is due to God LITERAL 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: all praise is due to God | Statement: [Tahmid, primaryPhraseTranslation, all praise is due to God]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryPhraseTranslation
Context triple: [Tahmid, primaryPhraseTranslation, all praise is due to God]
  • A. mainPhrase
    Indicates that the referenced phrase functions as the primary or central phrase within a larger linguistic or structural unit.
  • B. originalLanguagePhrase
    Indicates that one phrase is the original-language version from which another phrase (typically a translation or adaptation) is derived.
  • C. firstLineTranslation
    Indicates that one text is a translation of the first line of another text.
  • D. primaryInterpretation
    Indicates that one interpretation of an entity, expression, or signal is designated as its main or most significant meaning among possible alternatives.
  • E. textKeyPhraseEnglish
    Indicates that the relationship specifies an English-language key phrase extracted or assigned as textual metadata.
  • F. None of above. chosen

Provenance (4 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_69ee5bc3c20c8190bf2cf272f4170e95 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69fd67191cf88190b53ecbf5be3564e9 completed May 8, 2026, 4:31 a.m.
PD Predicate disambiguation batch_69fd654fdaac81908e67e75194710f06 completed May 8, 2026, 4:23 a.m.
PDg Predicate description generation batch_69fd67182c348190aa84a02e08dbf4e1 completed May 8, 2026, 4:31 a.m.
Created at: April 26, 2026, 8:18 p.m.