Triple
T15336326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Msta River |
E366674
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Okulovka |
E319439
|
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: Okulovka | Statement: [Msta River, passesNear, Okulovka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okulovka Context triple: [Msta River, passesNear, Okulovka]
-
A.
Okulovka
chosen
Okulovka is a small town in western Russia known as a local administrative and railway hub within Novgorod Oblast.
-
B.
Sokolka
Sokolka is a town in present-day northeastern Poland, historically part of the Grodno region, known for its multicultural heritage and role as a local administrative and trade center.
-
C.
Kocherinovo
Kocherinovo is a small town in southwestern Bulgaria known for its location near the Struma River and as part of the Kyustendil administrative region.
-
D.
Oľka
Oľka is a river in eastern Slovakia that serves as one of the tributaries feeding into the Ondava River.
-
E.
Orlovets
Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f11b88819089342e8b088bc95e |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.