Triple

T5436257
Position Surface form Disambiguated ID Type / Status
Subject Tjong A Fie Mansion E122013 entity
Predicate religiousElements P2154 FINISHED
Object Chinese ancestral altar LITERAL 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: Chinese ancestral altar | Statement: [Tjong A Fie Mansion, religiousElements, Chinese ancestral altar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousElements
Context triple: [Tjong A Fie Mansion, religiousElements, Chinese ancestral altar]
  • A. religiousElement chosen
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • B. religiousTopicAddressed
    Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
  • C. religiousTextOf
    Indicates that one entity is a religious text that is sacred to, foundational for, or primarily associated with another entity (such as a religion, denomination, or faith community).
  • D. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • E. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • F. None of above.

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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd922f66bc8190b7d47fd68d2fcf2e completed March 20, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69bd919aeb048190b786f814177d6cd9 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:07 p.m.