Triple
T30746610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarazát (Ornaments) |
E782831
|
entity |
| Predicate | containsAdmonitionsOn |
P199314
|
FINISHED |
| Object | conduct of Bahá’ís |
—
|
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: conduct of Bahá’ís | Statement: [Tarazát (Ornaments), containsAdmonitionsOn, conduct of Bahá’ís]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsAdmonitionsOn Context triple: [Tarazát (Ornaments), containsAdmonitionsOn, conduct of Bahá’ís]
-
A.
hasExclamationMarkInTitle
Indicates that the title of an item contains at least one exclamation mark character.
-
B.
containsIssue
Indicates that one entity includes, encompasses, or has within it a particular issue, problem, or defect.
-
C.
containsArticleOn
Indicates that one entity includes or features an article about another entity within its content or collection.
-
D.
containsArticle
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
-
E.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff2eb19ad88190915fbbe08e8bc84e |
completed | May 9, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69ff2db5dd608190b7b7ba95f19c276c |
completed | May 9, 2026, 12:51 p.m. |
| PDg | Predicate description generation | batch_69ff2eb0c0888190b0e05a03bf06d388 |
completed | May 9, 2026, 12:55 p.m. |
Created at: April 29, 2026, 8:38 p.m.