Triple
T11093703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lendu language |
E262318
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Alur language |
E231979
|
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: Alur language | Statement: [Lendu language, neighboringLanguages, Alur language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alur language Context triple: [Lendu language, neighboringLanguages, Alur language]
-
A.
Alur language
chosen
The Alur language is a Western Nilotic language spoken primarily by the Alur people of northwestern Uganda and northeastern Democratic Republic of the Congo.
-
B.
Pear language
Pear language is an Austroasiatic language of the Pearic branch spoken by the Pear people of Cambodia and considered highly endangered.
-
C.
Archi language
The Archi language is a highly complex, morphologically rich Northeast Caucasian language spoken by a small community in southern Dagestan, Russia.
-
D.
Soar language
Soar language is a specialized programming language used to create and manipulate cognitive models within the Soar cognitive architecture.
-
E.
Phong language
The Phong language is a lesser-known Vietic language spoken by an ethnic minority community in Laos.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ed12d88190a4ad8c346d68f11f |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7d3043c8190bdbe0ec51992db0c |
completed | April 18, 2026, 8:21 p.m. |
Created at: April 8, 2026, 9:27 p.m.