Triple
T30295612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Architecture of the Prophet’s Mosque |
E770510
|
entity |
| Predicate | initiallyBuiltAs |
P30482
|
FINISHED |
| Object | simple hypostyle mosque |
—
|
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: simple hypostyle mosque | Statement: [Architecture of the Prophet’s Mosque, initiallyBuiltAs, simple hypostyle mosque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initiallyBuiltAs Context triple: [Architecture of the Prophet’s Mosque, initiallyBuiltAs, simple hypostyle mosque]
-
A.
originallyBuilt
Indicates that one entity was the first or initial builder or constructor of another entity.
-
B.
originallyBuiltUnder
Indicates that something was first constructed during the rule, authority, or administration of a particular person, group, or regime.
-
C.
wasOriginallyBuiltAs
chosen
Indicates that an object or structure was initially constructed for a particular purpose, function, or role, which may differ from its current use.
-
D.
wasBuilt
Indicates that one entity constructed, created, or assembled another entity, typically at a specific time or over a period.
-
E.
builtOn
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
- 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_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 29, 2026, 7:48 p.m.