Triple
T34894311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Usmistes |
E1006387
|
entity |
| Predicate | hasChantLanguage |
P41747
|
FINISHED |
| Object | Arabic |
—
|
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: Arabic | Statement: [Les Usmistes, hasChantLanguage, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChantLanguage Context triple: [Les Usmistes, hasChantLanguage, Arabic]
-
A.
languageOfChant
chosen
Indicates the language in which a chant is performed or expressed.
-
B.
hasChant
Indicates that an entity is associated with or characterized by a particular chant.
-
C.
hasChorusLanguage
Indicates that the language used in the chorus section of a work (such as a song or musical piece) is a specified language.
-
D.
hasChantingStyle
Indicates that an entity is associated with or characterized by a particular style or manner of chanting.
-
E.
hasSpokenChants
Indicates that an entity has uttered or recited ritualistic or formulaic chants, typically as part of a ceremonial, religious, or magical practice.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: May 3, 2026, 4 p.m.