Triple

T6603216
Position Surface form Disambiguated ID Type / Status
Subject Ngo Dinh Thuc E149052 entity
Predicate familyName P18 FINISHED
Object Ngo E125405 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: Ngo | Statement: [Ngo Dinh Thuc, familyName, Ngo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngo
Context triple: [Ngo Dinh Thuc, familyName, Ngo]
  • A. Ngo chosen
    Ngo is a Vietnamese surname most prominently associated with figures such as former South Vietnamese president Ngo Dinh Diem.
  • B. Namgia
    Namgia is a small Himalayan village in India’s Himachal Pradesh, known as one of the last settlements before the Indo-Tibetan border near the high mountain pass of Shipki La.
  • C. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • D. Nggae
    Nggae is an alternative name for the Ghari language spoken in the Solomon Islands.
  • E. Namu
    Namu is the main settlement and administrative center of Namu Atoll in the Marshall Islands.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af10303081909541a140f8898979 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43860f081908fbf1ec65bdad940 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:56 p.m.