Triple
T13363162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embu |
E318869
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Kiembu |
E916994
|
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: Kiembu | Statement: [Embu, hasLanguage, Kiembu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiembu Context triple: [Embu, hasLanguage, Kiembu]
-
A.
Kiembu
chosen
Kiembu is a Bantu language spoken primarily by the Embu people of central Kenya.
-
B.
Kimbe
Kimbe is the main commercial and administrative town on the island of New Britain in Papua New Guinea, known as a hub for nearby plantations and world-class diving.
-
C.
Kiamba
Kiamba is a coastal municipality in the province of South Cotabato in the Philippines, known for its fishing industry and scenic natural attractions.
-
D.
Kiyombe
Kiyombe is a regional variety of the Kikongo language spoken by communities in parts of Central Africa.
-
E.
Kiunga
Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628affd081909f1790d333f0eef4 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7267c99788190b158b1d9f57ceba2 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:32 p.m.