Triple

T16912014
Position Surface form Disambiguated ID Type / Status
Subject Huiguo E410221 entity
Predicate movement P81 FINISHED
Object Tangmi E1191863 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: Tangmi | Statement: [Huiguo, movement, Tangmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangmi
Context triple: [Huiguo, movement, Tangmi]
  • A. Tangmi chosen
    Tangmi is a form of Chinese Esoteric Buddhism that developed during the Tang dynasty, characterized by tantric rituals, mantras, and mandala practices.
  • B. Tangtse
    Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
  • C. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • D. Tengatangi
    Tengatangi is a small village settlement located on the island of Atiu in the Cook Islands.
  • E. Gamosa
    Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3d6be88190bca5e1fdf727141b completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7bb4ac481909318d3d61a2d10e1 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.