Triple
T3352319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usakhelauri |
E70523
|
entity |
| Predicate | productionRegion |
P9365
|
FINISHED |
| Object | northwestern Georgia |
—
|
LITERAL 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: northwestern Georgia | Statement: [Usakhelauri, productionRegion, northwestern Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionRegion Context triple: [Usakhelauri, productionRegion, northwestern Georgia]
-
A.
developedInRegion
chosen
Indicates that something was created, produced, or brought into existence within a specified geographic region.
-
B.
recipientRegion
Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
-
C.
sourceRegion
Indicates the geographic or spatial region from which something originates or is derived.
-
D.
coProductionRegions
Indicates the regions or countries that jointly participated in producing a work (e.g., a film or TV show) as co-producers.
-
E.
countryRegion
Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
- F. None of above.
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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb221a7d8819086cd0f826eca0fe8 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.