Triple

T10589352
Position Surface form Disambiguated ID Type / Status
Subject Tamil-Brahmi script E249940 entity
Predicate predecessorOf P97 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: [Tamil-Brahmi script, predecessorOf, Vatteluttu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vatteluttu
Context triple: [Tamil-Brahmi script, predecessorOf, 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. Vapaudenristi
    Vapaudenristi is a Finnish military decoration, known in English as the Cross of Liberty, awarded for bravery and distinguished service.
  • C. Kivalliq
    Kivalliq is a region in Nunavut, Canada, known for its Inuit communities, Arctic tundra landscapes, and traditional hunting and fishing culture.
  • D. Lantrådet
    Lantrådet is the title used for the head of government of the autonomous Finnish region of Åland.
  • E. Hiljainen kansa
    Hiljainen kansa is a famous Finnish roadside art installation near Suomussalmi consisting of hundreds of scarecrow-like figures dressed in old clothes standing silently in a field.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277a39f08190848f24752cfa4b8f completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b59f80c81908afa84e4d9ffefc1 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:40 p.m.