Triple

T755466
Position Surface form Disambiguated ID Type / Status
Subject Tin How Temple E15544 entity
Predicate namedAfter P63 FINISHED
Object Mazu E88708 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: Mazu | Statement: [Tin How Temple, namedAfter, Mazu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazu
Context triple: [Tin How Temple, namedAfter, Mazu]
  • A. Mazu chosen
    Mazu is a revered Chinese sea goddess and patron deity of sailors and coastal communities, especially venerated in southern China and Taiwan.
  • B. Guanyin
    Guanyin is a revered bodhisattva in East Asian Buddhism associated with compassion and mercy, often depicted as a protective and benevolent figure who hears the cries of the world.
  • C. Yamate
    Yamate is a historic hillside district in Yokohama known for its Western-style residences, foreign settlers’ heritage, and scenic views over the city and harbor.
  • D. Oya
    Oya is a powerful Yoruba orisha associated with storms, winds, transformation, and the Niger River.
  • E. Foo Kok Keong
    Foo Kok Keong is a former Malaysian badminton player renowned for his fighting spirit and contributions to Malaysia’s international badminton success in the late 1980s and early 1990s.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6693cbc8190a167e12a896d7ce7 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787a808c81908e8db55a7f28ac90 completed March 3, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:37 p.m.