Triple
T16273196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ketevan |
E395053
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Keti |
E395053
|
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: Keti | Statement: [Ketevan, hasShortForm, Keti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keti Context triple: [Ketevan, hasShortForm, Keti]
-
A.
Keteyian
Keteyian is the surname of Armen Keteyian, an American television journalist and author known for his investigative sports reporting.
-
B.
Khatia
Khatia is a small gateway village that serves as one of the main entry points to Kanha National Park in central India.
-
C.
Tsioti
Tsioti is the former name of the town now known as Farkadona in central Greece.
-
D.
Kifisia
Kifisia is an affluent suburban municipality in the northern part of the Athens metropolitan area in Greece, known for its upscale residential neighborhoods, shops, and green spaces.
-
E.
Ketevan
chosen
Ketevan is a Georgian female given name, often associated with historical and cultural figures from Georgia.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460b22d88190bdc7cf509cf74198 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f90d4088190915d701978f018a5 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:05 a.m.