Triple
T13980650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamayo |
E336299
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kinamayo |
E336299
|
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: Kinamayo | Statement: [Kamayo, hasAlternativeName, Kinamayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinamayo Context triple: [Kamayo, hasAlternativeName, Kinamayo]
-
A.
Chiwan
Chiwan is a coastal area in Shenzhen, China, known for its port facilities, historical sites, and role in the city’s maritime trade.
-
B.
Kuwahi
Kuwahi is the Cherokee name for Clingmans Dome, the highest peak in Great Smoky Mountains National Park and one of the tallest mountains in the eastern United States.
-
C.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
-
D.
Kamayo
chosen
Kamayo is an Austronesian language spoken primarily in parts of Mindanao in the Philippines, particularly in the Caraga region.
-
E.
Yagiyama
Yagiyama is a hilly district in Sendai, Japan, known for its zoo, amusement park, and scenic views over the city.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea10dc88190b9720919a021e570 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e5f2008190a0701ae37ed5219d |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.