Triple

T15476396
Position Surface form Disambiguated ID Type / Status
Subject 龍山寺 E376790 entity
Predicate 奉祀神祇 P2291 FINISHED
Object 城隍爺 E190318 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: 城隍爺 | Statement: [龍山寺, 奉祀神祇, 城隍爺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 城隍爺
Context triple: [龍山寺, 奉祀神祇, 城隍爺]
  • A. 土地公
    土地公 is a widely venerated Chinese folk deity regarded as the local earth god who protects land, homes, and community prosperity.
  • B. 福德正神
    福德正神 is a widely venerated Chinese earth and wealth deity, commonly known as Tudigong, who protects local communities and bestows prosperity and good fortune.
  • C. 赤門
    赤門（Akamon, the Red Gate）is a historic vermilion-painted gate in Tokyo, best known as a symbol of the University of Tokyo and an Important Cultural Property of Japan.
  • D. Chenghuangshen chosen
    Chenghuangshen is a traditional Chinese city god deity believed to protect and oversee the affairs, justice, and welfare of a specific city and its inhabitants.
  • E. 祇園
    祇園 is Kyoto’s famous historic entertainment district known for its traditional wooden machiya townhouses, teahouses, and geisha (geiko and maiko) culture.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d093ccc8190aefc355a837c83f4 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.