Triple
T6843541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klyazma River |
E157834
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Noginsk |
E128774
|
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: Noginsk | Statement: [Klyazma River, flowsThrough, Noginsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noginsk Context triple: [Klyazma River, flowsThrough, Noginsk]
-
A.
Noginsk
chosen
Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
-
B.
Serpukhov
Serpukhov is a historic Russian town south of Moscow known for its medieval monasteries, industrial heritage, and location on the Nara River.
-
C.
Lyubertsy
Lyubertsy is a city in Russia that serves as a major suburban and industrial center just southeast of Moscow.
-
D.
Podolsk
Podolsk is a major industrial city and former center of machine-building located just south of Moscow in western Russia.
-
E.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
- 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_69c81e9cc3b88190a96ced453be3691e |
completed | March 28, 2026, 6:31 p.m. |
Created at: March 27, 2026, 2:19 p.m.