Triple
T24731121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabelbala |
E618289
|
entity |
| Predicate | korandjeStatus |
P157054
|
FINISHED |
| Object | endangered language community |
—
|
LITERAL 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: endangered language community | Statement: [Tabelbala, korandjeStatus, endangered language community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: korandjeStatus Context triple: [Tabelbala, korandjeStatus, endangered language community]
-
A.
statusInSira
Indicates the status or standing that an entity holds within the Sira system or classification.
-
B.
statusInTurkey
Indicates the legal, social, or official condition or standing that an entity holds within the context of Turkey.
-
C.
statusInDerna
Indicates the specific condition, role, or situation an entity holds within the context of Derna.
-
D.
classStatus
Indicates the current academic or enrollment standing of an entity within a class or course context.
-
E.
NorbulingkaStatus
Indicates the current condition, designation, or preservation state associated with Norbulingka.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 4:02 a.m.