Triple
T715651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uplistsikhe cave city |
E14307
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Gori |
E1743
|
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: Gori | Statement: [Uplistsikhe cave city, locatedNear, Gori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gori Context triple: [Uplistsikhe cave city, locatedNear, Gori]
-
A.
Gori
chosen
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
D.
Usakhelauri
Usakhelauri is a rare and highly prized Georgian red wine known for its natural sweetness, aromatic complexity, and limited production in the mountainous Racha region.
-
E.
Mytishchi
Mytishchi is a city in western Russia that serves as a major suburban and industrial center just northeast of Moscow.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a574b4d881908b6d0be386081efd |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b83709248190bee17ec028b12bae |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:37 p.m.