Triple
T16964450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Brahmi |
E411507
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Vatteluttu |
E418598
|
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: Vatteluttu | Statement: [Southern Brahmi, influenced, Vatteluttu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vatteluttu Context triple: [Southern Brahmi, influenced, Vatteluttu]
-
A.
Vatteluttu
chosen
Vatteluttu is an ancient South Indian script used primarily to write early Tamil and Malayalam before being replaced by the modern Tamil and Malayalam scripts.
-
B.
Lupaus
Lupaus is a Finnish film for which composer Tuomas Kantelinen created the musical score.
-
C.
Vapaudenristi
Vapaudenristi is a Finnish military decoration, known in English as the Cross of Liberty, awarded for bravery and distinguished service.
-
D.
Furore
Furore is a small coastal village on Italy’s Amalfi Coast, known for its dramatic fjord-like inlet, cliffside houses, and scenic Mediterranean views.
-
E.
Kivalliq
Kivalliq is a region in Nunavut, Canada, known for its Inuit communities, Arctic tundra landscapes, and traditional hunting and fishing culture.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a2cda88190bd574a869f0e43e9 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46cb56481908c2bc6648a12fbcf |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.