Triple
T15531946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Ter Sami |
E370240
|
entity |
| Predicate | ethnicGroup |
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: [Eastern Ter Sami, ethnicGroup, Ter Sami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ter Sami Context triple: [Eastern Ter Sami, ethnicGroup, 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 is a group of indigenous Uralic languages spoken by the Sámi people across northern parts of Norway, Sweden, Finland, and Russia.
-
D.
Sami
Sami was a prominent Sindhi poet known for his influential contributions to Sindhi literature and poetry.
-
E.
Sami
Sami is a coastal town and port on the Greek island of Kefalonia, known for its natural beauty and nearby caves.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414877d88190804ee76566004e13 |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5e82a48190bb0a10ebc2412129 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:06 a.m.