Triple
T13587999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanbao Gong |
E324618
|
entity |
| Predicate | romanizationVariant |
P5923
|
FINISHED |
| Object | Sam Po Kong |
E64247
|
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: Sam Po Kong | Statement: [Sanbao Gong, romanizationVariant, Sam Po Kong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Po Kong Context triple: [Sanbao Gong, romanizationVariant, Sam Po Kong]
-
A.
Sam Poo Kong
chosen
Sam Poo Kong is a historic Chinese temple complex in Semarang, Indonesia, revered as a cultural and religious site linked to the legendary admiral Zheng He.
-
B.
Kong Lin
Kong Lin is the historic family cemetery of Confucius and his descendants in Qufu, Shandong, and a major Confucian cultural heritage site in China.
-
C.
Koh Tsu Koon
Koh Tsu Koon is a Malaysian politician and former Chief Minister of Penang who later served as a federal minister.
-
D.
Kain Kong
Kain Kong is a musician best known as a member of the punk rock band The Lookouts.
-
E.
Cheng Tai Shen
Cheng Tai Shen is an actor known for his role in the critically acclaimed Mexican drama film "Biutiful."
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb054c6008190839384ce26e8f71a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8deae88190b932a57789c70e77 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.