Triple
T7042709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Hagia Sophia Mosque |
E163550
|
entity |
| Predicate | conversionToMosqueDate |
P74707
|
FINISHED |
| Object | 16th 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: 16th century | Statement: [Little Hagia Sophia Mosque, conversionToMosqueDate, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionToMosqueDate Context triple: [Little Hagia Sophia Mosque, conversionToMosqueDate, 16th century]
-
A.
positionInIslamicCalendar
Indicates the specific placement or ordering of a time point (such as a date or event) within the structure of the Islamic (Hijri) calendar.
-
B.
monthInIslamicCalendar
Indicates that one entity is a specific month within the Islamic (Hijri) calendar system.
-
C.
usePeriodAsMosque
Indicates that a particular time period is utilized or designated for functioning as a mosque or for mosque-related activities.
-
D.
timeWithMuhammad
Indicates that one entity spends or has spent time together with Muhammad.
-
E.
dateRelativeToGregorian
Indicates how a given date is positioned or expressed in relation to the standard Gregorian calendar date.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:36 p.m.