Triple
T34825781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawzat al-anwār |
E1003916
|
entity |
| Predicate | hasAuthorCentury |
P34035
|
FINISHED |
| Object | 14th-century poet |
—
|
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 poet | Statement: [Rawzat al-anwār, hasAuthorCentury, 14th-century poet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorCentury Context triple: [Rawzat al-anwār, hasAuthorCentury, 14th-century poet]
-
A.
hasEponymCentury
Indicates that something is named after a person associated with a particular century.
-
B.
declaredInCentury
Indicates that something (such as an event, work, or concept) was formally declared or proclaimed during a specified century.
-
C.
compiledInCentury
Indicates that something (such as a work, text, or document) was compiled during a specified century.
-
D.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
E.
existedInCentury
chosen
Indicates that an entity existed or was present during a specified century.
- 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_69f76db7d1b4819093bd4912d80d845d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 3, 2026, 4 p.m.