Triple

T8549068
Position Surface form Disambiguated ID Type / Status
Subject Ettuthokai E202399 entity
Predicate contains P35 FINISHED
Object Kuruntokai E202406 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: Kuruntokai | Statement: [Ettuthokai, contains, Kuruntokai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuruntokai
Context triple: [Ettuthokai, contains, Kuruntokai]
  • A. Kuruntokai chosen
    Kuruntokai is an ancient Tamil anthology of classical love poetry, belonging to the Sangam literary corpus.
  • B. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • C. Rikitea
    Rikitea is the principal village and administrative hub of the Gambier Islands in French Polynesia, known for its lagoon setting and pearl-farming activities.
  • D. Sankashū
    Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
  • E. Nakanai
    Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe753d3608190b0573477182cf194 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dc1bb5481909ddd3af564c24c0c completed April 2, 2026, 1:23 p.m.
Created at: March 30, 2026, 6:19 p.m.