Triple

T8798824
Position Surface form Disambiguated ID Type / Status
Subject Tudigong E209349 entity
Predicate subordinateTo P258 FINISHED
Object City God E190317 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: City God | Statement: [Tudigong, subordinateTo, City God]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City God
Context triple: [Tudigong, subordinateTo, City God]
  • A. City God of Shanghai chosen
    The City God of Shanghai is the protective deity of Shanghai in Chinese folk religion and Taoism, overseeing the city's welfare, justice, and local affairs.
  • B. Blue City
    Blue City is a popular nickname for Jodhpur, a historic city in Rajasthan, India, famed for its blue-painted houses and hilltop Mehrangarh Fort.
  • C. Silk City
    Silk City is a dance music duo and production project formed by DJs Diplo and Mark Ronson, known for their house-influenced tracks and high-profile collaborations.
  • D. Silk City
    Silk City is a popular nickname for Bhagalpur, an Indian city renowned for its historic silk industry and production of high-quality Tussar silk.
  • E. Silk City
    Silk City is a historic nickname for Paterson, New Jersey, reflecting its past prominence as a major center of silk production in the United States.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa50dd081908fa5e4ffa70342e2 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf891583d48190ba276b5a1f7d6f7a completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:44 p.m.