Triple
T21873447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritual (Nous sommes du soleil) |
E540066
|
entity |
| Predicate | hasNonEnglishPhraseInTitle |
P15390
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Ritual (Nous sommes du soleil), hasNonEnglishPhraseInTitle, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNonEnglishPhraseInTitle Context triple: [Ritual (Nous sommes du soleil), hasNonEnglishPhraseInTitle, French]
-
A.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
-
B.
hasApproximateEnglishTitle
Indicates that an entity is associated with an English title that is an approximate or non-exact rendering of its original title.
-
C.
hasTitleInLanguage
chosen
Indicates that an entity has a specific title expressed in a particular language.
-
D.
hasLatinTitle
Indicates that an entity possesses a title or name expressed in Latin.
-
E.
hasTitleInTransliteration
Indicates that an entity has a specific title represented in a transliterated form from another writing system.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f337ab5c8190937a457d348c732b |
completed | April 28, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:01 p.m.