Triple
T8564573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cilappatikāram |
E202771
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Maturai-k-kāṇṭam |
E202410
|
NE 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: Maturai-k-kāṇṭam | Statement: [Cilappatikāram, hasPart, Maturai-k-kāṇṭam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maturai-k-kāṇṭam Context triple: [Cilappatikāram, hasPart, Maturai-k-kāṇṭam]
-
A.
Maduraikāñci
chosen
Maduraikāñci is a classical Tamil poem from the Sangam era, renowned for its vivid portrayal of the city of Madurai, its society, and cultural life.
-
B.
Matemale
Matemale is a small commune in the Pyrénées-Orientales department of southern France, known for its high-altitude lake and mountain setting in the Capcir plateau.
-
C.
Kanyadaan
Kanyadaan is a critically acclaimed Marathi play by Vijay Tendulkar that explores caste, idealism, and the complexities of social reform through a turbulent inter-caste marriage.
-
D.
Malaipadukadām
Malaipadukadām is a classical Tamil poem from the Sangam era renowned for its vivid portrayal of mountainous landscapes, tribal life, and romantic love.
-
E.
Madadayo
Madadayo is a 1993 Japanese drama film directed by Akira Kurosawa that poignantly portrays the later years of a beloved professor and his enduring bond with former students.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d11274819099cc33a21a993a1f |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89677888819091dfda14ce6baef3 |
completed | April 2, 2026, 3:21 p.m. |
Created at: March 30, 2026, 6:20 p.m.