Triple
T3826784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazu |
E88708
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 媽祖 |
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: 媽祖 | Statement: [Mazu, hasChineseName, 媽祖]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 媽祖 Context triple: [Mazu, hasChineseName, 媽祖]
-
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.
Grand Mazu Temple (Tainan)
Grand Mazu Temple (Tainan) is a historic Taiwanese temple dedicated to the sea goddess Mazu, renowned for its traditional architecture and cultural significance in Tainan.
-
C.
Chenghuangshen
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.
-
D.
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.
-
E.
龍山寺
龍山寺 is a historic and culturally significant Buddhist temple in Taipei, Taiwan, renowned for its intricate architecture and role as a major religious and tourist landmark.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb64c72c8190b5f3d376aa4ee933 |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb4f41c88190b3040236462c37cc |
completed | March 14, 2026, 6:08 a.m. |
Created at: March 9, 2026, 3:17 p.m.