Triple
T29211042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civaka Cintamani Kaviyam |
E740546
|
entity |
| Predicate | hasTitleInTamil |
P83255
|
FINISHED |
| Object |
சீவக சிந்தாமணி
சீவக சிந்தாமணி is a classic Tamil Jain epic poem renowned for its intricate narrative, poetic elegance, and significant influence on medieval Tamil literature and bhakti traditions.
|
E1855632
|
NE FINISHED |
How this triple was built (3 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: சீவக சிந்தாமணி | Statement: [Civaka Cintamani Kaviyam, hasTitleInTamil, சீவக சிந்தாமணி]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: சீவக சிந்தாமணி Triple: [Civaka Cintamani Kaviyam, hasTitleInTamil, சீவக சிந்தாமணி]
Generated description
சீவக சிந்தாமணி is a classic Tamil Jain epic poem renowned for its intricate narrative, poetic elegance, and significant influence on medieval Tamil literature and bhakti traditions.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInTamil Context triple: [Civaka Cintamani Kaviyam, hasTitleInTamil, சீவக சிந்தாமணி]
-
A.
titleInTamilScript
chosen
Indicates that the title of an entity is expressed or recorded in the Tamil script.
-
B.
titleInKannadaScript
Indicates that the title of an entity is written or represented in the Kannada script.
-
C.
titleInSanskritScript
Indicates that the title of an entity is expressed using the Sanskrit writing system.
-
D.
HindiTitle
Indicates that one entity serves as the Hindi-language title or name for another entity.
-
E.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
- F. None of above.
Provenance (6 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_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2569c95df48190913cead73e317d14 |
completed | June 7, 2026, 12:53 p.m. |
| NEDg | Description generation | batch_6a256e1a5a7481909bd3a9e3a719bba5 |
completed | June 7, 2026, 1:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a25720109c481908ee70d2bbeb32403 |
completed | June 7, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 28, 2026, 12:11 p.m.