Triple
T9164829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asad |
E219923
|
entity |
| Predicate | usedInLiteraryTradition |
P2989
|
FINISHED |
| Object | Urdu 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: Urdu poetry | Statement: [Asad, usedInLiteraryTradition, Urdu poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInLiteraryTradition Context triple: [Asad, usedInLiteraryTradition, Urdu poetry]
-
A.
literaryTradition
chosen
Indicates a relationship where a work, practice, or expression belongs to, arises from, or participates in a particular established body of literary customs, styles, or conventions.
-
B.
hasAncientLiteraryTradition
Indicates that an entity possesses a long-established, historically significant body of written literature originating in ancient times.
-
C.
hasLiterarySignificance
Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
-
D.
hasUseInTradition
Indicates that something is employed or holds a functional role within a particular cultural, religious, or historical tradition.
-
E.
traditionallyLitAt
Indicates that something is customarily illuminated by something else according to tradition or established practice.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ee64c8190a9a5abafe5d0b086 |
completed | April 1, 2026, 5:16 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:22 p.m.