Triple
T7223535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serer language |
E150319
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Serer-Sine |
E193597
|
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: Serer-Sine | Statement: [Serer language, hasDialects, Serer-Sine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serer-Sine Context triple: [Serer language, hasDialects, Serer-Sine]
-
A.
Serer
chosen
Serer is a Niger–Congo language spoken primarily by the Serer people of Senegal and neighboring regions.
-
B.
Sassoun
Sassoun is a mountainous region in historic Western Armenia, famed in Armenian folklore as the homeland of the legendary heroes of the national epic.
-
C.
Sarazi
Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
-
D.
Surayt
Surayt is a modern Aramaic language variety traditionally spoken by Syriac Christian communities from the Tur Abdin region in southeastern Turkey and neighboring areas.
-
E.
Merkheuli
Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b54a5c8190a4a289f32853a8fe |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d38686ac819098705463a65dec87 |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:54 p.m.