Triple
T19314533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaqeli family |
E483060
|
entity |
| Predicate | regionRuled |
P15936
|
FINISHED |
| Object | Samtskhe-Saatabago |
—
|
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-Saatabago | Statement: [Jaqeli family, regionRuled, Samtskhe-Saatabago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samtskhe-Saatabago Context triple: [Jaqeli family, regionRuled, Samtskhe-Saatabago]
-
A.
Samtskhe
chosen
Samtskhe is a historical and geographic region in southern Georgia known for its mountainous landscapes, medieval fortresses, and cultural heritage.
-
B.
Lobamba
Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
-
C.
Mabasa
Mabasa is a barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
-
D.
Motshegetsi
Motshegetsi is the full given name of Motsi Mabuse, the South African-born professional dancer and television personality.
-
E.
Lanseria
Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cfec8c8190a118b327b1418150 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:32 p.m.