Triple
T29211104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirutakkatevar |
E740547
|
entity |
| Predicate | Civaka Cintamani |
P166431
|
FINISHED |
| Object | isOneOfTheFiveGreatEpicsOfTamilLiterature |
—
|
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: isOneOfTheFiveGreatEpicsOfTamilLiterature | Statement: [Tirutakkatevar, Civaka Cintamani, isOneOfTheFiveGreatEpicsOfTamilLiterature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Civaka Cintamani Context triple: [Tirutakkatevar, Civaka Cintamani, isOneOfTheFiveGreatEpicsOfTamilLiterature]
-
A.
Juyo
Indicates a relationship where one entity is associated with or characterized by the concept or style referred to as "Juyo."
-
B.
имаКамбанария
Indicates that a building or structure possesses a bell tower as one of its architectural features.
-
C.
Seal of the Hands
Indicates a relationship in which something is formally confirmed, authenticated, or bound through the deliberate action or agreement of specific individuals or parties.
-
D.
قبلة
Indicates a kissing action or gesture occurring between entities.
-
E.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f664057f888190b8c7e45431970680 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, 12:11 p.m.