Triple
T15326023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozurgeti History Museum |
E366412
|
entity |
| Predicate | locatedIn |
P40
|
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: [Ozurgeti History Museum, locatedIn, Ozurgeti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ozurgeti Context triple: [Ozurgeti History Museum, locatedIn, Ozurgeti]
-
A.
Ozurgeti
chosen
Ozurgeti is a city in western Georgia that serves as the administrative and cultural center of the Guria region.
-
B.
Amurrio
Amurrio is a town and municipality in the Basque province of Álava in northern Spain, known for its industrial activity and scenic rural surroundings.
-
C.
Igarra
Igarra is a prominent town in Edo State, Nigeria, known as the traditional headquarters of the Etuno people and the administrative center of the Akoko-Edo Local Government Area.
-
D.
Elorrio
Elorrio is a historic town in northern Spain’s Basque Country, known for its well-preserved medieval center and traditional Basque architecture.
-
E.
Beasain
Beasain is a town in the Basque province of Gipuzkoa in northern Spain, known for its strong industrial base and railway manufacturing heritage.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dfd8f048190831b463a2728eafe |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219635b08190a19dcaeb72240379 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:16 a.m.