Triple
T9173305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patamona language |
E220132
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Kapon |
E781690
|
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: Kapon | Statement: [Patamona language, alternateName, Kapon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapon Context triple: [Patamona language, alternateName, Kapon]
-
A.
Kapon
chosen
Kapon is an indigenous language (also known as Akawaio) spoken by the Akawaio people of the Guiana Highlands in northern South America.
-
B.
Kotek
Kotek is the surname of Tina Kotek, an American politician who has served as Governor of Oregon and previously as Speaker of the Oregon House of Representatives.
-
C.
Kikapú
Kikapú is an Algonquian language traditionally spoken by the Kickapoo people in parts of the United States and Mexico.
-
D.
Katt
Katt is the surname of American actor Nicky Katt, known for his character roles in film and television.
-
E.
Kudelstaart
Kudelstaart is a village in the Dutch province of North Holland, known for its location on the Westeinderplassen lake and its role in regional horticulture and water sports.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa128d48190b54b8f95d77d81cc |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c0a91ec8190a97002660b66aabe |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:22 p.m.