Triple
T588176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guria |
E17206
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Ozurgeti |
E74258
|
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: Ozurgeti | Statement: [Guria, majorTown, Ozurgeti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ozurgeti Context triple: [Guria, majorTown, Ozurgeti]
-
A.
Ozurgeti
chosen
Ozurgeti is a city in western Georgia that serves as the administrative and cultural center of the Guria region.
-
B.
Aneto
Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
-
C.
Piedrahíta
Piedrahíta is a historic town in the province of Ávila, Castile and León, Spain, known for its medieval heritage and noble connections.
-
D.
Jaca
Jaca is a town in northeastern Spain, in the Pyrenees of Aragon, known as a mountain resort and former candidate host city for the Winter Olympics.
-
E.
Guasca
Guasca is a small town and municipality in the Cundinamarca Department of Colombia, known for its rural landscapes and proximity to the Chingaza National Natural Park.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9d1e68819096a9b5e7b2e83d6e |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a518c44ef0819088048289ed31246f |
completed | March 2, 2026, 4:57 a.m. |
Created at: March 1, 2026, 7:33 p.m.