Triple
T7373286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayyid al-Taifa |
E170060
|
entity |
| Predicate | SayyidMeaning |
P30734
|
FINISHED |
| Object | master |
—
|
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: master | Statement: [Sayyid al-Taifa, SayyidMeaning, master]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SayyidMeaning Context triple: [Sayyid al-Taifa, SayyidMeaning, master]
-
A.
knownInIslamAs
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
B.
nameMeaningInArabic
chosen
Indicates that the predicate specifies the meaning or interpretation of a name when expressed in the Arabic language.
-
C.
religiousNamesake
Indicates that one entity serves as the religiously significant figure, concept, or object after which the other entity is named.
-
D.
hasQuranicSurahNamedAfterHim
Indicates that a person is the namesake of a chapter (surah) in the Quran.
-
E.
SufiOrder
Indicates a relationship in which an entity is affiliated with, belongs to, or is a member of a specific Sufi order.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a50898819087097a64e09e19eb |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.