Triple
T35700798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derajat region |
E1031575
|
entity |
| Predicate | hasTraditionalPoetry |
P193778
|
FINISHED |
| Object | Saraiki Sufi 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: Saraiki Sufi poetry | Statement: [Derajat region, hasTraditionalPoetry, Saraiki Sufi poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalPoetry Context triple: [Derajat region, hasTraditionalPoetry, Saraiki Sufi poetry]
-
A.
hasTraditionalRhyme
Indicates that something is associated with or characterized by a conventional or culturally established rhyme.
-
B.
hasPoeticConvention
chosen
Indicates that something embodies, uses, or is characterized by a recognized poetic convention or stylistic device within poetry.
-
C.
hasPoeticLyrics
Indicates that something (such as a song, text, or speech) contains lyrics or wording that are artistic, expressive, or characteristic of poetry.
-
D.
hasPoeticAttestations
Indicates that the subject is documented or evidenced in poetic sources or literary works.
-
E.
hasCanonicalPoem
Indicates that an entity is associated with a poem recognized as its standard or authoritative version.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffc3f0b19c8190b5a749bc3cad21dd |
completed | May 9, 2026, 11:32 p.m. |
| PD | Predicate disambiguation | batch_69ffc1b882808190932b2d43ea5537c9 |
completed | May 9, 2026, 11:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.