Triple
T19682600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian nobility |
E472629
|
entity |
| Predicate | includedClass |
P56991
|
FINISHED |
| Object | eristavi |
—
|
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: eristavi | Statement: [Georgian nobility, includedClass, eristavi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: eristavi Context triple: [Georgian nobility, includedClass, eristavi]
-
A.
eristavi
chosen
Eristavi was a Georgian noble title roughly equivalent to a duke or military governor, historically held by high-ranking aristocrats in medieval Georgia.
-
B.
ERI
ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
-
C.
ERI
ERI is the former stock ticker symbol for Eldorado Resorts, a U.S.-based casino and hospitality company that later became part of Caesars Entertainment.
-
D.
ERI
ERI is the IATA airport code for Erie International Airport, a commercial airport serving Erie, Pennsylvania.
-
E.
EISTI
EISTI is a French engineering school specializing in computer science, applied mathematics, and data science, historically based in Cergy.
- 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.