Triple
T3453011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Mosque of Córdoba |
E72834
|
entity |
| Predicate | conversionToCathedralYear |
P21120
|
FINISHED |
| Object | 1236 |
—
|
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: 1236 | Statement: [Great Mosque of Córdoba, conversionToCathedralYear, 1236]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionToCathedralYear Context triple: [Great Mosque of Córdoba, conversionToCathedralYear, 1236]
-
A.
hasCathedralStatusSince
chosen
Indicates the point in time from which something has held the official status of a cathedral.
-
B.
conversionToChristianityCentury
Indicates the century during which an entity underwent or was associated with a conversion to Christianity.
-
C.
eraOfConversion
Indicates the specific historical period or era during which the conversion event or change took place.
-
D.
formerCathedral
Indicates that a building once held the status and function of a cathedral but no longer does.
-
E.
currentArchbishopStartYear
Indicates the calendar year in which the current archbishop began serving in that role.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa2f5ec81909ced93c01e8fe38b |
completed | March 8, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.