Triple
T23336194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Зея |
E591591
|
entity |
| Predicate | крупный приток |
P415
|
FINISHED |
| Object | Селемджа |
—
|
NE NERFINISHED |
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: Селемджа | Statement: [Зея, крупный приток, Селемджа]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Селемджа Context triple: [Зея, крупный приток, Селемджа]
-
A.
Karlugh
Karlugh is an alternative transliteration of "Karluk," referring to a historical Turkic people and the language associated with them.
-
B.
Semyen
Semyen is a masculine given name, commonly used in Slavic countries as a variant of the name Semyon.
-
C.
Solkhat
Solkhat is the historical name of Stary Krym, an ancient town in Crimea that once served as an important medieval trade and administrative center.
-
D.
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.
-
E.
Khansar
Khansar is a historic city in central Iran known for its traditional architecture, cool climate, and production of honey and dairy products.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Селемджа Target entity description: Селемджа — река на Дальнем Востоке России, протекающая по Амурской области и известная своими таёжными ландшафтами и малой освоенностью.
-
A.
Karlugh
Karlugh is an alternative transliteration of "Karluk," referring to a historical Turkic people and the language associated with them.
-
B.
Semyen
Semyen is a masculine given name, commonly used in Slavic countries as a variant of the name Semyon.
-
C.
Solkhat
Solkhat is the historical name of Stary Krym, an ancient town in Crimea that once served as an important medieval trade and administrative center.
-
D.
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.
-
E.
Khansar
Khansar is a historic city in central Iran known for its traditional architecture, cool climate, and production of honey and dairy products.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: крупный приток Context triple: [Зея, крупный приток, Селемджа]
-
A.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
-
B.
largestInflowRiver
Indicates that one river has the greatest volume of water flowing into a specified body (such as a lake, sea, or another river) compared to all other contributing rivers.
-
C.
tributary
chosen
Indicates that one watercourse flows into and feeds another, contributing its water to a larger stream, river, or lake.
-
D.
upstreamRiver
Indicates that one river is located or flows in an upstream direction relative to another river within the same watercourse system.
-
E.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
- F. None of above.
Provenance (3 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197f1e0588190bf073b92be0bf9e4 |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:16 p.m.