Triple
T11190139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hypostyle Room |
E264774
|
entity |
| Predicate | hasCeilingDecorationMotif |
P34815
|
FINISHED |
| Object | solar motifs |
—
|
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: solar motifs | Statement: [Hypostyle Room, hasCeilingDecorationMotif, solar motifs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCeilingDecorationMotif Context triple: [Hypostyle Room, hasCeilingDecorationMotif, solar motifs]
-
A.
hasCeilingDecoration
chosen
Indicates that an entity features or is adorned with a decorative element on its ceiling.
-
B.
hasCeilingShape
Indicates that an entity is characterized by or associated with a particular shape of its ceiling.
-
C.
hasDomeDecoration
Indicates that an entity’s dome is adorned with specific decorative elements or ornamentation.
-
D.
hasCeilingType
Indicates that an entity is associated with or characterized by a specific type of ceiling.
-
E.
hasCornice
Indicates that one entity (typically a building or structure) possesses a cornice as an architectural feature.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8af18e4819091811bca657c9cb0 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.