Triple
T15655546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ter Sami language |
E376428
|
entity |
| Predicate | ethnicity |
P194
|
FINISHED |
| Object | Ter Sami |
E74922
|
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: Ter Sami | Statement: [Ter Sami language, ethnicity, Ter Sami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ter Sami Context triple: [Ter Sami language, ethnicity, Ter Sami]
-
A.
Ter Sami
chosen
Ter Sami is a critically endangered Uralic language traditionally spoken by a small Sami community on the Kola Peninsula in northwestern Russia.
-
B.
Samir
Samir is a fictional character portrayed by Indian actor Suraj Sharma, best known for his breakout role in the film "Life of Pi."
-
C.
Sami
Sami was a prominent Sindhi poet known for his influential contributions to Sindhi literature and poetry.
-
D.
Sami
Sami is a coastal town and port on the Greek island of Kefalonia, known for its natural beauty and nearby caves.
-
E.
Sami
Sami is a common given name of Arabic origin used for both males and females in various cultures.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef1f83c8190bbf65eed162cbd55 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67994fbc819090f2da267888e8fb |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:15 a.m.