Triple
T26614182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awjila |
E668011
|
entity |
| Predicate | isEndangeredMinorityLanguageOf |
P161051
|
FINISHED |
| Object | Libya |
—
|
NE NERFINISHED |
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: Libya | Statement: [Awjila, isEndangeredMinorityLanguageOf, Libya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEndangeredMinorityLanguageOf Context triple: [Awjila, isEndangeredMinorityLanguageOf, Libya]
-
A.
isOfficialMinorityLanguageIn
Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic entity.
-
B.
areMinorityLanguagesIn
Indicates that the subject languages are minority (non-dominant) languages within the specified region, country, or larger linguistic context.
-
C.
isSpokenLanguageOf
Indicates that a particular language is used as the spoken language by a specified person, group, or community.
-
D.
minorityLanguageArea
Indicates that an area is one in which a minority language is traditionally spoken or officially recognized as having a special status.
-
E.
recognizedAsMinorityLanguageSince
Indicates that a language has been officially acknowledged or designated as a minority language starting from a specific point in time.
- F. None of above. chosen
Provenance (4 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615ab004c8190940650384f1e161c |
completed | May 2, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:18 a.m.