Triple

T19698843
Position Surface form Disambiguated ID Type / Status
Subject Anga E473037 entity
Predicate capital P234 FINISHED
Object Champā NE NERFINISHED

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: Champā | Statement: [Anga, capital, Champā]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champā
Context triple: [Anga, capital, Champā]
  • A. Champa chosen
    Champa was an ancient maritime kingdom in what is now central and southern Vietnam, known for its seafaring trade networks, Hindu-Buddhist culture, and distinctive temple architecture.
  • B. Nag Champa
    Nag Champa is a popular aromatic blend, often used in incense and oils, known for its sweet, earthy, and floral fragrance associated with meditation and spiritual practices.
  • C. Kambos
    Kambos is a coastal village on the Greek island of Patmos, known for its sandy beach and role as a popular summer resort area.
  • D. Khatai
    Khatai was the poetic pen name of Shah Ismail I, the founder of the Safavid dynasty and an influential Azerbaijani-Turkic poet.
  • E. Manipura
    Manipura is an ancient kingdom in the Indian epic Mahabharata, known as the realm ruled by Babruvahana, the son of Arjuna.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b426608190a46abec3652a6ca0 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.