Triple
T20454559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazrat Shah Jalal Mazar Sharif |
E501741
|
entity |
| Predicate | centuryOfAssociatedSaint |
P89519
|
FINISHED |
| Object | 14th 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: 14th century | Statement: [Hazrat Shah Jalal Mazar Sharif, centuryOfAssociatedSaint, 14th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centuryOfAssociatedSaint Context triple: [Hazrat Shah Jalal Mazar Sharif, centuryOfAssociatedSaint, 14th century]
-
A.
centuryCelebrated
Indicates that a particular century is being honored, commemorated, or formally celebrated in some way.
-
B.
associatedWithCentury
Indicates that something has a relevant connection or linkage to a particular century, such as occurring in, belonging to, or being characteristic of that time period.
-
C.
linkedToSaint
Indicates that one entity has a direct association or connection with a saint.
-
D.
appointedAsBishopInCentury
Indicates that an individual was appointed to the position of bishop during a specified century.
-
E.
associatedWithCenturyOfNameBearer
chosen
Indicates that an entity is linked to the historical century in which the person (name bearer) associated with it lived or is primarily known.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d04ca4081909b428c31d16fca10 |
completed | April 20, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:32 a.m.