Triple
T5331856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Mosque of Kairouan |
E123327
|
entity |
| Predicate | prayerHallType |
P53929
|
FINISHED |
| Object | hypostyle hall with multiple aisles |
—
|
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: hypostyle hall with multiple aisles | Statement: [Great Mosque of Kairouan, prayerHallType, hypostyle hall with multiple aisles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prayerHallType Context triple: [Great Mosque of Kairouan, prayerHallType, hypostyle hall with multiple aisles]
-
A.
mainPrayerHallType
chosen
Indicates the specific architectural or functional type assigned to a main prayer hall within a religious or worship-related structure.
-
B.
prayerHallCapacity
Indicates the maximum number of people that the prayer hall is designed or allowed to accommodate at one time.
-
C.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
-
D.
hasMosque
Indicates that one entity possesses, contains, or is the location of a mosque.
-
E.
hasMihrab
Indicates that a structure or space contains or is equipped with a mihrab, the niche indicating the direction of prayer in a mosque or Islamic prayer area.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85aab0308190990626cbc9da3e21 |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.