Triple
T12229682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man Mo Temple |
E291441
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sheung Wan |
E291433
|
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: Sheung Wan | Statement: [Man Mo Temple, locatedIn, Sheung Wan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheung Wan Context triple: [Man Mo Temple, locatedIn, Sheung Wan]
-
A.
Sheung Wan
chosen
Sheung Wan is a historic district on Hong Kong Island known for its blend of traditional Chinese shops, temples, and modern cafes and galleries.
-
B.
Chai Wan
Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
-
C.
Tsuen Wan
Tsuen Wan is a major urban town and residential-commercial district in Hong Kong, located along the northwestern shore of Victoria Harbour.
-
D.
Sai Ying Pun
Sai Ying Pun is a historic, densely populated neighborhood on Hong Kong Island known for its mix of traditional shops, trendy cafes, and colonial-era architecture.
-
E.
Shau Kei Wan
Shau Kei Wan is a densely populated residential and historic fishing district located on the eastern side of Hong Kong Island.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca34fe88190900c8791c70948b7 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbae345881908b2fa0a6900f601e |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 8, 2026, 9:51 p.m.