Triple
T12074602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dong |
E287513
|
entity |
| Predicate | autonym |
P1435
|
FINISHED |
| Object | Kam |
E858687
|
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: Kam | Statement: [Dong, autonym, Kam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kam Context triple: [Dong, autonym, Kam]
-
A.
Kam
chosen
Kam is the name of an ethnic group in China and Southeast Asia, also known as the Dong people, who are recognized for their distinct Kam–Sui language and rich traditional culture.
-
B.
KAM
KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
-
C.
Kamsa
Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
-
D.
Kaamatan
Kaamatan is a traditional harvest festival celebrated in Sabah, Malaysia, particularly by the Kadazan-Dusun people, to give thanks for a bountiful rice harvest through rituals, cultural performances, and communal feasting.
-
E.
Kaming
Kaming is a town in Austria that is twinned as a sister city with Queenstown, New Zealand.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045bbc508190abf6e3316701e587 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f65ed5908190a0082796366a8825 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.