Triple
T18714440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Терек |
E457597
|
entity |
| Predicate | nameInGeorgian |
P16880
|
FINISHED |
| Object | თერგი |
—
|
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: თერგი | Statement: [Терек, nameInGeorgian, თერგი]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: თერგი Context triple: [Терек, nameInGeorgian, თერგი]
-
A.
თერგი
chosen
თერგი არის მდინარე ჩრდილოეთ კავკასიაში, რომელიც მიედინება რუსეთისა და საქართველოს ტერიტორიებზე და ჩაედინება კასპიის ზღვაში.
-
B.
Tergu
Tergu is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural setting and historic Romanesque church of Nostra Signora di Tergu.
-
C.
Τεγέα
Τεγέα is an ancient Arcadian city-state in the central Peloponnese of Greece, known for its important sanctuary of Athena Alea and its role in classical Greek history.
-
D.
Terk
Terk is the energetic young gorilla from Disney's Tarzan, known for her playful, tomboyish personality and close friendship with Tarzan.
-
E.
Therru
Therru is a central character in Ursula K. Le Guin’s Earthsea series, particularly in the novel "Tehanu," where she is a traumatized, scarred child with a mysterious and powerful inner nature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab4ee6881908f19558937cbb078 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:50 a.m.