Triple
T15002143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chora Church |
E374115
|
entity |
| Predicate | convertedToMosque |
P116311
|
FINISHED |
| Object | Ottoman period |
—
|
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: Ottoman period | Statement: [Chora Church, convertedToMosque, Ottoman period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToMosque Context triple: [Chora Church, convertedToMosque, Ottoman period]
-
A.
convertedToMosqueInCentury
Indicates that a building or religious structure was converted into a mosque during a specified century.
-
B.
functionStartAsMosque
Indicates that a building or structure originally began its use or function as a mosque.
-
C.
reconvertedToMosqueBy
Indicates that a building or site, previously used for another purpose, was changed back into a mosque by a specific agent or authority.
-
D.
convertedToIslamWith
Indicates that one entity adopted Islam through the influence, guidance, or involvement of another entity.
-
E.
hasMosque
Indicates that one entity possesses, contains, or is the location of a mosque.
- F. None of above. chosen
Provenance (4 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7312ae48190bdaf91ecced6657e |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:54 a.m.