Triple
T19682633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Jaqeli |
E472630
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Samtskhe |
—
|
NE NERFINISHED |
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: Samtskhe | Statement: [House of Jaqeli, region, Samtskhe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samtskhe Context triple: [House of Jaqeli, region, Samtskhe]
-
A.
Samtskhe
chosen
Samtskhe is a historical and geographic region in southern Georgia known for its mountainous landscapes, medieval fortresses, and cultural heritage.
-
B.
Sakule
Sakule is a village located within the municipality of Opovo in Serbia, known as a small rural settlement in the Vojvodina region.
-
C.
Msasani
Msasani is a coastal residential and commercial neighborhood in Dar es Salaam, Tanzania, known for its beaches, nightlife, and expatriate community.
-
D.
Samtah
Samtah is a town in southwestern Saudi Arabia located in the Jazan Region near the border with Yemen.
-
E.
Motshegetsi
Motshegetsi is the full given name of Motsi Mabuse, the South African-born professional dancer and television personality.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641c05964819093d3124b8f174001 |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.