Triple
T30665197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Mosque of Seville |
E780640
|
entity |
| Predicate | minaretConvertedTo |
P107012
|
FINISHED |
| Object | Giralda |
—
|
NE NERFINISHED |
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: Giralda | Statement: [Great Mosque of Seville, minaretConvertedTo, Giralda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minaretConvertedTo Context triple: [Great Mosque of Seville, minaretConvertedTo, Giralda]
-
A.
reconvertedToMosqueBy
Indicates that a building or site, previously used for another purpose, was changed back into a mosque by a specific agent or authority.
-
B.
minaretAdded
chosen
Indicates that a minaret has been constructed and incorporated into an existing structure or site.
-
C.
minaretBuiltBy
Indicates that a minaret was constructed by a particular agent, such as a person, group, or organization.
-
D.
convertedToMosque
Indicates that a building or structure was changed in function or use to become a mosque.
-
E.
convertedToMosqueInCentury
Indicates that a building or religious structure was converted into a mosque during a specified century.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68ae41860819084f56b1c66e2721f |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:31 p.m.