Triple

T1647148
Position Surface form Disambiguated ID Type / Status
Subject Potala Palace E35607 entity
Predicate locatedIn P40 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: [Potala Palace, locatedIn, Lhasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lhasa
Context triple: [Potala Palace, locatedIn, 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. 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.
  • C. Kathmandu
    Kathmandu is the capital and largest city of Nepal, serving as the country’s political, cultural, and economic center.
  • D. Lanchkhuti
    Lanchkhuti is a small Georgian town that serves as an important local center in the western region of Guria.
  • E. Dharamshala
    Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a62b26c8190bf97bb80c228b47e completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71a8c22c8190b7f2883dfbd1403f completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:28 p.m.