Triple
T14634253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheikh Lotfollah Mosque |
E343558
|
entity |
| Predicate | domeDecoration |
P18932
|
FINISHED |
| Object | cream and turquoise tiles |
—
|
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: cream and turquoise tiles | Statement: [Sheikh Lotfollah Mosque, domeDecoration, cream and turquoise tiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domeDecoration Context triple: [Sheikh Lotfollah Mosque, domeDecoration, cream and turquoise tiles]
-
A.
hasDomeDecoration
chosen
Indicates that an entity’s dome is adorned with specific decorative elements or ornamentation.
-
B.
domeShape
Indicates that one entity has a dome-like or hemispherical shape in relation to another or in its overall form.
-
C.
domeInspiredBy
Indicates that the design or structure of a dome is influenced or derived from another dome or architectural source.
-
D.
domeColor
Indicates the color attribute associated specifically with a dome.
-
E.
domeWeight
Indicates the weight or mass of a dome structure associated with an entity.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aa7cb48190b008bd6b0e162c89 |
completed | April 14, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.