Triple
T29210512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katiyalur Uruttirankannanar |
E740533
|
entity |
| Predicate | workTypeOfPattinappalai |
P1366
|
FINISHED |
| Object | long poem |
—
|
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: long poem | Statement: [Katiyalur Uruttirankannanar, workTypeOfPattinappalai, long poem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTypeOfPattinappalai Context triple: [Katiyalur Uruttirankannanar, workTypeOfPattinappalai, long poem]
-
A.
workTypeOfSetting
Indicates the type or nature of work activity that characterizes or occurs within a particular setting.
-
B.
workTypeOfCycle
Indicates the type or category of work associated with a particular cycle or cyclical process.
-
C.
typeOfWork
chosen
Indicates the kind or category of work associated with or performed by an entity.
-
D.
patronType
Indicates the classification or category of a patron in relation to a service, institution, or resource.
-
E.
praisesWorkType
Indicates that one entity expresses approval or commendation specifically for the type or category of work produced by another entity.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 12:11 p.m.