Triple
T2769215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Sea |
E61411
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Onega Bay
Onega Bay is a large southern inlet of Russia’s White Sea, known for its numerous islands, shallow waters, and importance to regional fishing and navigation.
|
E301810
|
NE FINISHED |
How this triple was built (4 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: Onega Bay | Statement: [White Sea, hasPart, Onega Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onega Bay Context triple: [White Sea, hasPart, Onega Bay]
-
A.
Kandalaksha
Kandalaksha is a Russian port town on the Kandalaksha Gulf of the White Sea, known for its Arctic location and nearby nature reserve.
-
B.
Avacha Bay
Avacha Bay is a large, sheltered Pacific bay on Russia’s Kamchatka Peninsula, known as a major natural harbor surrounded by volcanic landscapes.
-
C.
Nagaev Bay
Nagaev Bay is a coastal inlet of the Sea of Okhotsk in Russia’s Far East, serving as the main harbor area for the port city of Magadan.
-
D.
Torastan Bay
Torastan Bay is a coastal inlet known for its beach near the town of Coll in Scotland’s Inner Hebrides.
-
E.
Ungava Bay
Ungava Bay is a large, remote Arctic bay in northern Quebec, Canada, known for its harsh climate, strong tides, and rich marine ecosystems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Onega Bay Triple: [White Sea, hasPart, Onega Bay]
Generated description
Onega Bay is a large southern inlet of Russia’s White Sea, known for its numerous islands, shallow waters, and importance to regional fishing and navigation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Onega Bay Target entity description: Onega Bay is a large southern inlet of Russia’s White Sea, known for its numerous islands, shallow waters, and importance to regional fishing and navigation.
-
A.
Kandalaksha
Kandalaksha is a Russian port town on the Kandalaksha Gulf of the White Sea, known for its Arctic location and nearby nature reserve.
-
B.
Avacha Bay
Avacha Bay is a large, sheltered Pacific bay on Russia’s Kamchatka Peninsula, known as a major natural harbor surrounded by volcanic landscapes.
-
C.
Nagaev Bay
Nagaev Bay is a coastal inlet of the Sea of Okhotsk in Russia’s Far East, serving as the main harbor area for the port city of Magadan.
-
D.
Torastan Bay
Torastan Bay is a coastal inlet known for its beach near the town of Coll in Scotland’s Inner Hebrides.
-
E.
Ungava Bay
Ungava Bay is a large, remote Arctic bay in northern Quebec, Canada, known for its harsh climate, strong tides, and rich marine ecosystems.
- F. None of above. chosen
Provenance (5 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6785d88190b99f99889463a962 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce89a144819096f9230c8d95ce3f |
completed | March 10, 2026, 7:55 a.m. |
| NEDg | Description generation | batch_69afcf7cc6f08190aefbe07ef51f1928 |
completed | March 10, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcfd803848190921f73fe1b15a01b |
completed | March 10, 2026, 8:01 a.m. |
Created at: March 6, 2026, 9:57 p.m.