Triple
T11469234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naro language |
E271857
|
entity |
| Predicate | languageFamily |
P1047
|
FINISHED |
| Object | Khoe |
E402125
|
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: Khoe | Statement: [Naro language, languageFamily, Khoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khoe Context triple: [Naro language, languageFamily, Khoe]
-
A.
Khoe
chosen
Khoe is a branch of the Khoe–Kwadi language family spoken by various Khoisan communities in southern Africa.
-
B.
Khobi
Khobi is a small town in the Samegrelo-Zemo Svaneti region of western Georgia, serving as a local administrative and cultural center.
-
C.
Mekoche
Mekoche is one of the principal divisions of the Shawnee people, historically recognized as a distinct clan or band within the larger Shawnee nation.
-
D.
Ko Chorakhe
Ko Chorakhe is a small island located within Thailand’s Chumphon Archipelago, known for its coastal scenery and marine environment.
-
E.
Kohat
Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6042507c4819096afc2839fda186d |
completed | April 20, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:35 p.m.