Triple
T35798145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pak Tai Temple (Cheung Chau) |
E1034891
|
entity |
| Predicate | hasAltName |
P20733
|
FINISHED |
| Object |
Yuk Hui Temple
Yuk Hui Temple is a historic Taoist temple on Cheung Chau Island in Hong Kong dedicated to the sea deity Pak Tai and renowned as a focal point of local religious and cultural festivals.
|
E2157326
|
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: Yuk Hui Temple | Statement: [Pak Tai Temple (Cheung Chau), hasAltName, Yuk Hui Temple]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yuk Hui Temple Triple: [Pak Tai Temple (Cheung Chau), hasAltName, Yuk Hui Temple]
Generated description
Yuk Hui Temple is a historic Taoist temple on Cheung Chau Island in Hong Kong dedicated to the sea deity Pak Tai and renowned as a focal point of local religious and cultural festivals.
Provenance (5 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a25600d48190a3b8197343038068 |
completed | May 3, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a389167e7908190b20c8161c8554d0a |
completed | June 22, 2026, 1:35 a.m. |
| NEDg | Description generation | batch_6a3895750be0819099633a20746e577e |
completed | June 22, 2026, 1:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3895e484688190a901e0e3232ecf26 |
completed | June 22, 2026, 1:54 a.m. |
Created at: May 3, 2026, 4:06 p.m.