Triple
T9161918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M10 highway |
E219843
|
entity |
| Predicate | majorCitiesAlongRoute |
P65699
|
FINISHED |
| Object | Chudovo |
E329297
|
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: Chudovo | Statement: [M10 highway, majorCitiesAlongRoute, Chudovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chudovo Context triple: [M10 highway, majorCitiesAlongRoute, Chudovo]
-
A.
Chudovo
chosen
Chudovo is a small town in northwestern Russia known for its historical ties to the Novgorod region and its location along important transportation routes between Moscow and St. Petersburg.
-
B.
Chudniv
Chudniv is a small urban-type settlement in northern Ukraine known for its historical role in regional trade and its location within Zhytomyr Oblast.
-
C.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
D.
Kraslava
Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
-
E.
Kriváň
Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2c1a9881909b7100b6e436386d |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054770a0c819095cf0a7cc8d1a057 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:21 p.m.