Triple
T22992389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Hakim Mosque |
E572085
|
entity |
| Predicate | hasCourtyardPlan |
P62855
|
FINISHED |
| Object | rectangular |
—
|
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: rectangular | Statement: [Al-Hakim Mosque, hasCourtyardPlan, rectangular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCourtyardPlan Context triple: [Al-Hakim Mosque, hasCourtyardPlan, rectangular]
-
A.
hasCourtyard
Indicates that one entity includes, features, or is characterized by the presence of a courtyard.
-
B.
hasCourtyardFeature
chosen
Indicates that a courtyard possesses or includes a specific feature or characteristic.
-
C.
hasCourtyardArea
Indicates that an entity includes or is associated with a courtyard and specifies the size or extent of that courtyard space.
-
D.
hasCourtyardUse
Indicates that one entity is permitted or designated to use the courtyard of another entity.
-
E.
hasParterre
Indicates that one entity includes or is associated with a parterre (a formal, patterned garden area) as part of its layout or design.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f017a88190b02d0649a3af5d99 |
completed | April 29, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:50 p.m.