Triple
T17904567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Chau |
E447668
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hong |
—
|
NE NERFINISHED |
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: Hong | Statement: [Hong Chau, givenName, Hong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hong Context triple: [Hong Chau, givenName, Hong]
-
A.
Hong
chosen
Hong is a Chinese-origin surname shared by various notable individuals across different fields and regions.
-
B.
Hong
Hong is a prominent town in northeastern Nigeria that serves as a key cultural and administrative center for the Kilba people.
-
C.
Tai Wai
Tai Wai is a residential and transport hub area in Hong Kong’s New Territories, known for its major railway interchange and proximity to Sha Tin.
-
D.
Hongkew
Hongkew is a historic district of Shanghai that was once part of the foreign-controlled International Settlement and later became known for its diverse communities and wartime Jewish refugee population.
-
E.
Hoi Ha
Hoi Ha is a small coastal village and marine area in Hong Kong’s Sai Kung Peninsula, known for its clear waters, coral communities, and inclusion in the Hoi Ha Wan Marine Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9a9cfc8190879fc36dfdeb562b |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.