Triple
T32045798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulayman ibn Surad al-Khuza‘i |
E818344
|
entity |
| Predicate | roleInTawwabun |
P201508
|
FINISHED |
| Object | chief organizer |
—
|
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: chief organizer | Statement: [Sulayman ibn Surad al-Khuza‘i, roleInTawwabun, chief organizer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTawwabun Context triple: [Sulayman ibn Surad al-Khuza‘i, roleInTawwabun, chief organizer]
-
A.
roleInTawaf
Indicates the specific function or position an entity holds during the performance of the tawaf ritual.
-
B.
roleInMosque
Indicates that an entity holds or performs a specific role, function, or position within a mosque.
-
C.
roleInMecca
Indicates that an entity holds or performs a specific role, function, or position in the context of Mecca.
-
D.
roleInHajj
Indicates the specific function, duty, or position an entity holds within the context of performing or organizing the Hajj pilgrimage.
-
E.
roleInUmrah
Indicates the specific function, duty, or position an entity holds within the context of performing or organizing Umrah.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
| PDg | Predicate description generation | batch_69fffc7793bc81908d7b41eeec42c2f2 |
completed | May 10, 2026, 3:33 a.m. |
Created at: May 1, 2026, 12:20 a.m.