Triple
T14457736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catedral de Nuestra Señora de la Asunción |
E358498
|
entity |
| Predicate | foundedAsMosque |
P28937
|
FINISHED |
| Object | 8th century |
—
|
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: 8th century | Statement: [Catedral de Nuestra Señora de la Asunción, foundedAsMosque, 8th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsMosque Context triple: [Catedral de Nuestra Señora de la Asunción, foundedAsMosque, 8th century]
-
A.
hasMosque
Indicates that one entity possesses, contains, or is the location of a mosque.
-
B.
reconvertedToMosqueBy
Indicates that a building or site, previously used for another purpose, was changed back into a mosque by a specific agent or authority.
-
C.
JumaMosqueInstanceOf
Indicates that something is classified as an instance of a Juma (Friday) mosque.
-
D.
foundedAsTempleInYear
Indicates that an entity was originally established as a temple in a specific year.
-
E.
functionStartAsMosque
chosen
Indicates that a building or structure originally began its use or function as a mosque.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91aabebc819097eb61b2d81c9a91 |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.