Triple
T25116023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindhi literature |
E629129
|
entity |
| Predicate | hasClassicalPeriod |
P73573
|
FINISHED |
| Object | pre-modern Sindhi poetry |
—
|
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: pre-modern Sindhi poetry | Statement: [Sindhi literature, hasClassicalPeriod, pre-modern Sindhi poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassicalPeriod Context triple: [Sindhi literature, hasClassicalPeriod, pre-modern Sindhi poetry]
-
A.
hasClassicalLanguage
Indicates that an entity is associated with, uses, or is expressed in a classical (historically established and canonical) language.
-
B.
hasClassicalLiterature
chosen
Indicates that an entity is associated with, contains, or possesses works of classical literature.
-
C.
hasClassicalRadius
Indicates that an entity is associated with a specific classical radius value, typically representing its effective size in classical (non-quantum) physics.
-
D.
isAncient
Indicates that the entity existed or originated in a very distant past, typically far earlier than the commonly referenced historical period.
-
E.
isClassicOfArea
Indicates that something is recognized as a classic or exemplary work within a particular area, field, or domain.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 6:27 a.m.