Triple
T12114125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dmitrov Kremlin |
E288511
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Yakhroma River |
E335701
|
NE FINISHED |
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: Yakhroma River | Statement: [Dmitrov Kremlin, near, Yakhroma River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yakhroma River Context triple: [Dmitrov Kremlin, near, Yakhroma River]
-
A.
Khrami River
The Khrami River is a significant river in the South Caucasus that flows through Georgia and Azerbaijan before joining the Mtkvari (Kura) River.
-
B.
Khimka River
chosen
The Khimka River is a small waterway in the Moscow Oblast of Russia that flows through the city of Khimki and into the Moscow Canal.
-
C.
Khudosey River
The Khudosey River is a significant watercourse in northern Siberia, Russia, known as one of the main tributaries contributing to the Taz River basin.
-
D.
Kasplya River
The Kasplya River is a tributary waterway in Eastern Europe that feeds into the larger Daugava River system.
-
E.
Khopyor River
The Khopyor River is a major tributary of the Don River in southwestern Russia, flowing through several regions and known for its scenic, largely unspoiled natural landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156814148190b47d63a89fcab17c |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5b2fb308190ab041a9cfe39087c |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 8, 2026, 9:49 p.m.