Triple

T17944263
Position Surface form Disambiguated ID Type / Status
Subject Laoshan Scenic Area E448663 entity
Predicate hasReligiousTradition P1186 FINISHED
Object Taoism 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: Taoism | Statement: [Laoshan Scenic Area, hasReligiousTradition, Taoism]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taoism
Context triple: [Laoshan Scenic Area, hasReligiousTradition, Taoism]
  • A. Taoism chosen
    Taoism is an ancient Chinese philosophical and religious tradition centered on living in harmony with the Tao, emphasizing naturalness, simplicity, and spiritual cultivation.
  • B. Confucianism
    Confucianism is an ancient Chinese philosophical and ethical system based on the teachings of Confucius, emphasizing moral virtue, social harmony, and proper conduct in personal and political life.
  • C. Sufism and Taoism
    "Sufism and Taoism" is a comparative philosophical study that explores the parallels and intersections between Islamic mysticism and classical Chinese Taoist thought.
  • D. Tao
    Tao is a Chinese surname shared by numerous individuals, including the renowned mathematician Terence Tao.
  • E. Tao
    Tao is a central antagonist character in the Sleeper universe, known for opposing the protagonist’s goals and driving much of the story’s conflict.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9819a88190ad4ea7d562cf3f28 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.