Triple
T26467688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farewell to the Sacred Mosque |
E665812
|
entity |
| Predicate | literalMeaningOfArabicName |
P144322
|
FINISHED |
| Object | farewell circumambulation |
—
|
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: farewell circumambulation | Statement: [Farewell to the Sacred Mosque, literalMeaningOfArabicName, farewell circumambulation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literalMeaningOfArabicName Context triple: [Farewell to the Sacred Mosque, literalMeaningOfArabicName, farewell circumambulation]
-
A.
nameMeaningInArabic
Indicates that the predicate specifies the meaning or interpretation of a name when expressed in the Arabic language.
-
B.
meaningInArabic
chosen
Indicates that one entity expresses the meaning or translation of another entity in the Arabic language.
-
C.
hebrewMeaning
Indicates that one entity specifies or provides the meaning or translation of another entity in the Hebrew language.
-
D.
meaningInArabicRelatedForm
Indicates that one entity expresses the meaning of another entity in Arabic through a related or derived linguistic form.
-
E.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 12:17 a.m.