Triple
T10433764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magharet es-Sitti Mariam |
E245982
|
entity |
| Predicate | languageOfLocalDevotion |
P3115
|
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: [Magharet es-Sitti Mariam, languageOfLocalDevotion, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfLocalDevotion Context triple: [Magharet es-Sitti Mariam, languageOfLocalDevotion, Arabic]
-
A.
devotionalLanguageType
Indicates the type or category of language used in a devotional or religious context.
-
B.
languageOfWorship
chosen
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
C.
languageOfChant
Indicates the language in which a chant is performed or expressed.
-
D.
languageOfReligiousLife
Indicates the language primarily used in the religious practices, rituals, or spiritual life associated with an entity.
-
E.
languageOfApparitions
Indicates the language in which apparitions, visions, or supernatural manifestations are expressed or communicated.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea65afe08190b91260c9267a0f14 |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfbc546881908f312c66ee195f79 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:14 p.m.