Triple
T30295624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Architecture of the Prophet’s Mosque |
E770510
|
entity |
| Predicate | hasMinaretsCount |
P140608
|
FINISHED |
| Object | multiple minarets |
—
|
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: multiple minarets | Statement: [Architecture of the Prophet’s Mosque, hasMinaretsCount, multiple minarets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinaretsCount Context triple: [Architecture of the Prophet’s Mosque, hasMinaretsCount, multiple minarets]
-
A.
hasNumberOfMinarets
chosen
Indicates the specific count of minarets associated with a given entity.
-
B.
hasMinarets
Indicates that an entity (typically a building) possesses one or more minarets as architectural features.
-
C.
hasDomeAndMinarets
Indicates that something possesses both a dome and one or more minarets as architectural features.
-
D.
hasMinaretFeature
Indicates that something possesses or includes a minaret as one of its architectural or structural features.
-
E.
numberOfBalconiesOnMinarets
Indicates the count of balconies present on the minarets associated with a given subject.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 29, 2026, 7:48 p.m.