Triple
T19927293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varketili |
E478957
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object | Varketili |
—
|
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: Varketili | Statement: [Varketili, locatedInNeighborhood, Varketili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varketili Context triple: [Varketili, locatedInNeighborhood, Varketili]
-
A.
Varketili
chosen
Varketili is a metro station in Tbilisi, Georgia, serving as a key terminus on the Tbilisi Metro network.
-
B.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
C.
Kerevi
Kerevi is a surname most prominently associated with Samu Kerevi, a professional rugby union player who has represented Australia internationally.
-
D.
Erista
Erista is the internal codename for Nvidia’s original Tegra X1 system-on-chip, notably used in the first-generation Nintendo Switch.
-
E.
Davigo
Davigo is an Italian surname most notably associated with Piercamillo Davigo, a prominent magistrate and former member of Italy’s anti-corruption "Mani Pulite" (Clean Hands) investigation.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659ca52c881908dc8053bf61be4c4 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.