Triple
T29243976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | எட்டுத்தொகை |
E741384
|
entity |
| Predicate | hasPoeticConvention |
P193778
|
FINISHED |
| Object | திணை அடிப்படையிலான வகைப்படுத்தல் |
—
|
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: திணை அடிப்படையிலான வகைப்படுத்தல் | Statement: [எட்டுத்தொகை, hasPoeticConvention, திணை அடிப்படையிலான வகைப்படுத்தல்]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoeticConvention Context triple: [எட்டுத்தொகை, hasPoeticConvention, திணை அடிப்படையிலான வகைப்படுத்தல்]
-
A.
hasPoeticDevice
Indicates that one entity (typically a text or passage) employs or contains a specific poetic device present in the other entity.
-
B.
hasPoeticLyrics
Indicates that something (such as a song, text, or speech) contains lyrics or wording that are artistic, expressive, or characteristic of poetry.
-
C.
hasPoeticAttestations
Indicates that the subject is documented or evidenced in poetic sources or literary works.
-
D.
hasCanonicalPoem
Indicates that an entity is associated with a poem recognized as its standard or authoritative version.
-
E.
hasPoeticSpeaker
Indicates that one entity functions as the poetic speaker or voice expressing the content of another entity (such as a poem or lyrical work).
- F. None of above. chosen
Provenance (4 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
| PDg | Predicate description generation | batch_69fd553c01488190b9fda48b4a728f04 |
completed | May 8, 2026, 3:15 a.m. |
Created at: April 28, 2026, 12:32 p.m.