Triple

T9909595
Position Surface form Disambiguated ID Type / Status
Subject Southwest China E185105 entity
Predicate majorCity P316 FINISHED
Object Lhasa E185643 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: Lhasa | Statement: [Southwest China, majorCity, Lhasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lhasa
Context triple: [Southwest China, majorCity, Lhasa]
  • A. Lhasa chosen
    Lhasa is the historic and spiritual center of Tibet, renowned for its ancient monasteries and the Potala Palace, former residence of the Dalai Lama.
  • B. Lhasa de Sela
    Lhasa de Sela was a Mexican-American singer-songwriter renowned for her haunting, multilingual vocals and genre-blending albums that drew from folk, Latin, and world music traditions.
  • C. Thimphu
    Thimphu is the largest city of Bhutan and its political, economic, and cultural center, located in the western part of the country in the Himalayas.
  • D. Xining
    Xining is the capital and largest city of Qinghai Province in western China, known as a key hub on the Tibetan Plateau and a historic gateway between Han Chinese and Tibetan regions.
  • E. Leh
    Leh is a historic town in the Indian union territory of Ladakh, known for its high-altitude Himalayan landscape, Buddhist monasteries, and role as a former trading hub on the Silk Route.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb51184d08190a0350f2722110811 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20db5979081909b8e292ac6bb7c2f completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.