Triple

T8705147
Position Surface form Disambiguated ID Type / Status
Subject Xiaogan Municipal People's Government E206629 entity
Predicate governs P760 FINISHED
Object Anlu City E206627 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: Anlu City | Statement: [Xiaogan Municipal People's Government, governs, Anlu City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anlu City
Context triple: [Xiaogan Municipal People's Government, governs, Anlu City]
  • A. Anlu chosen
    Anlu is a county-level city in central China's Hubei province, known for its historical significance and agricultural economy.
  • B. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • C. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • D. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • E. Butuan City
    Butuan City is a highly urbanized and historically significant city in the Caraga region of Mindanao in the Philippines, known as a commercial hub and an important archaeological and cultural center.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fb43f081909df5d1e31cb1ec04 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef423b1c4819081ea887af8f8e576 completed April 2, 2026, 10:56 p.m.
Created at: March 30, 2026, 6:34 p.m.