Triple
T19064491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tao-Klarjeti |
E466618
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Klarjeti
Klarjeti is a historical region in southwestern Georgia, known as part of the medieval Tao-Klarjeti principality and for its early Christian monastic centers.
|
E1357585
|
NE FINISHED |
How this triple was built (4 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: Klarjeti | Statement: [Tao-Klarjeti, contains, Klarjeti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klarjeti Context triple: [Tao-Klarjeti, contains, Klarjeti]
-
A.
Zastava Koral
The Zastava Koral, also known as the Yugo, is a compact Yugoslav/Serbian hatchback car that gained international notoriety in the 1980s as one of the most affordable and criticized vehicles sold in Western markets.
-
B.
Biancorossi
Biancorossi is the traditional nickname of Italian football club LR Vicenza, referring to the team’s white-and-red colors.
-
C.
Bordo-Mavililer
Bordo-Mavililer is the popular Turkish nickname for Trabzonspor, referring to the club’s claret and blue team colors.
-
D.
Plavi
Plavi is the traditional nickname of the Yugoslavia national football team, referring to their iconic blue-colored kit.
-
E.
Plavi
Plavi is the popular nickname of FK Željezničar Sarajevo, a prominent Bosnian football club known for its blue team colors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Klarjeti Triple: [Tao-Klarjeti, contains, Klarjeti]
Generated description
Klarjeti is a historical region in southwestern Georgia, known as part of the medieval Tao-Klarjeti principality and for its early Christian monastic centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klarjeti Target entity description: Klarjeti is a historical region in southwestern Georgia, known as part of the medieval Tao-Klarjeti principality and for its early Christian monastic centers.
-
A.
Zastava Koral
The Zastava Koral, also known as the Yugo, is a compact Yugoslav/Serbian hatchback car that gained international notoriety in the 1980s as one of the most affordable and criticized vehicles sold in Western markets.
-
B.
Biancorossi
Biancorossi is the traditional nickname of Italian football club LR Vicenza, referring to the team’s white-and-red colors.
-
C.
Bordo-Mavililer
Bordo-Mavililer is the popular Turkish nickname for Trabzonspor, referring to the club’s claret and blue team colors.
-
D.
Plavi
Plavi is the traditional nickname of the Yugoslavia national football team, referring to their iconic blue-colored kit.
-
E.
Plavi
Plavi is the popular nickname of FK Željezničar Sarajevo, a prominent Bosnian football club known for its blue team colors.
- F. None of above. chosen
Provenance (5 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19799d8819099d0b848771ae425 |
completed | April 20, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d3569e5881909b6493ce9ac447a5 |
completed | May 14, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a05d5c28a708190bf31c547522380db |
completed | May 14, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d74b87048190b02383d4c0769c2d |
completed | May 14, 2026, 2:08 p.m. |
Created at: April 10, 2026, 12:03 p.m.