Triple
T6843538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klyazma River |
E157834
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Kovrov |
E527440
|
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: Kovrov | Statement: [Klyazma River, flowsThrough, Kovrov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kovrov Context triple: [Klyazma River, flowsThrough, Kovrov]
-
A.
Kovrov
chosen
Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
-
B.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
C.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
-
D.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
-
E.
Kirov
Kirov is a town in Kaluga Oblast, Russia, known as a local administrative and industrial center.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b7179481909e3482fef47b2719 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c80299ee8c8190a64397339ae62119 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 2:19 p.m.