Triple
T19682598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian nobility |
E472629
|
entity |
| Predicate | includedClass |
P56991
|
FINISHED |
| Object | mtavari |
—
|
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: mtavari | Statement: [Georgian nobility, includedClass, mtavari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: mtavari Context triple: [Georgian nobility, includedClass, mtavari]
-
A.
mtavari
chosen
Mtavari was a Georgian noble title historically used for regional princes or rulers, particularly in western Georgia.
-
B.
Motā
Motā is a historic town in Ethiopia’s Gojjam region, known for its longstanding role as a local religious and commercial center.
-
C.
Taravai
Taravai is one of the inhabited islands of the Gambier Islands archipelago in French Polynesia, known for its remote location and traditional Polynesian character.
-
D.
Tvishi
Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
-
E.
Motlav
Motlav is an Oceanic language of the Torres Islands in northern Vanuatu, spoken primarily on Motalava Island.
- 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.