Triple
T3681250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ismaili Shia |
E78115
|
entity |
| Predicate | historicalLanguageOfScholarship |
P50274
|
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: [Ismaili Shia, historicalLanguageOfScholarship, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalLanguageOfScholarship Context triple: [Ismaili Shia, historicalLanguageOfScholarship, Arabic]
-
A.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another language.
-
B.
historicalLanguageCenter
Indicates that a location has served as a significant hub or focal point for the development, use, or study of a particular language in the past.
-
C.
languageOfHistoricalRecord
Indicates the language in which a given historical record is written or recorded.
-
D.
historicalLanguageStatus
Indicates that a language had a particular official, social, or functional status during a past historical period.
-
E.
historicalLanguageStage
Indicates that one language variety represents an earlier historical stage or developmental phase of another language.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc492aed481909e8986378ad283fc |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb97cdb788190a5ce96b21bd157ab |
completed | March 8, 2026, 6:01 p.m. |
Created at: March 8, 2026, 3:25 p.m.