Triple
T4677113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kura |
E103707
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object |
Khrami
Khrami is a river in the South Caucasus that flows through Georgia and serves as a significant tributary of the Kura River.
|
E460348
|
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: Khrami | Statement: [Kura, tributary, Khrami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khrami Context triple: [Kura, tributary, Khrami]
-
A.
Shughni
Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
D.
Dzherman
Dzherman is a river in southwestern Bulgaria that serves as a significant tributary of the Struma River.
-
E.
Tskhenistskali
Tskhenistskali is a river in western Georgia that flows through the Samegrelo-Zemo Svaneti and Imereti regions before joining the Rioni River.
- 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: Khrami Triple: [Kura, tributary, Khrami]
Generated description
Khrami is a river in the South Caucasus that flows through Georgia and serves as a significant tributary of the Kura River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khrami Target entity description: Khrami is a river in the South Caucasus that flows through Georgia and serves as a significant tributary of the Kura River.
-
A.
Shughni
Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
D.
Dzherman
Dzherman is a river in southwestern Bulgaria that serves as a significant tributary of the Struma River.
-
E.
Tskhenistskali
Tskhenistskali is a river in western Georgia that flows through the Samegrelo-Zemo Svaneti and Imereti regions before joining the Rioni River.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63698a548190831863adddd32f31 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03a0d5c88190a9b40e1ca7d165ff |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be04f8aeac81909ec199c83af6df39 |
completed | March 21, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05608ee08190acf947144998660c |
completed | March 21, 2026, 2:41 a.m. |
Created at: March 20, 2026, 1:16 p.m.