Triple
T5331871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Mosque of Kairouan |
E123327
|
entity |
| Predicate | domeLocation |
P62872
|
FINISHED |
| Object | in front of the mihrab |
—
|
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: in front of the mihrab | Statement: [Great Mosque of Kairouan, domeLocation, in front of the mihrab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domeLocation Context triple: [Great Mosque of Kairouan, domeLocation, in front of the mihrab]
-
A.
domeWeight
Indicates the weight or mass of a dome structure associated with an entity.
-
B.
domeShape
Indicates that one entity has a dome-like or hemispherical shape in relation to another or in its overall form.
-
C.
diameterOfDome
Indicates the measurement of the dome’s diameter as a geometric property of that dome.
-
D.
heightOfDome
Indicates the measured vertical extent or elevation of a dome structure from its base to its highest point.
-
E.
hasDomeOrTower
Indicates that one entity possesses or features a dome or a tower as part of its structure.
- 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_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. |
| PDg | Predicate description generation | batch_69bd8501d53c81908371bd5195ba5703 |
completed | March 20, 2026, 5:33 p.m. |
Created at: March 20, 2026, 2 p.m.