Triple
T9321310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dmitry Laptev |
E224266
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Khariton Laptev
Khariton Laptev was an 18th-century Russian naval officer and Arctic explorer known for his role in charting the Siberian Arctic coastline during the Great Northern Expedition.
|
E791581
|
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: Khariton Laptev | Statement: [Dmitry Laptev, hasRelative, Khariton Laptev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khariton Laptev Context triple: [Dmitry Laptev, hasRelative, Khariton Laptev]
-
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.
Lake Taymyr
Lake Taymyr is a large, remote freshwater lake in the Russian Arctic, known as one of the northernmost major lakes in the world.
-
C.
Polevskoy
Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
-
D.
Nagatinsky Zaton
Nagatinsky Zaton is a metro station on Moscow’s Big Circle Line serving the Nagatinsky Zaton district in the city’s southeast.
-
E.
Khatanga Gulf
Khatanga Gulf is a large Arctic estuary in northern Siberia where the Khatanga River meets the Laptev Sea.
- 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: Khariton Laptev Triple: [Dmitry Laptev, hasRelative, Khariton Laptev]
Generated description
Khariton Laptev was an 18th-century Russian naval officer and Arctic explorer known for his role in charting the Siberian Arctic coastline during the Great Northern Expedition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khariton Laptev Target entity description: Khariton Laptev was an 18th-century Russian naval officer and Arctic explorer known for his role in charting the Siberian Arctic coastline during the Great Northern Expedition.
-
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.
Lake Taymyr
Lake Taymyr is a large, remote freshwater lake in the Russian Arctic, known as one of the northernmost major lakes in the world.
-
C.
Polevskoy
Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
-
D.
Nagatinsky Zaton
Nagatinsky Zaton is a metro station on Moscow’s Big Circle Line serving the Nagatinsky Zaton district in the city’s southeast.
-
E.
Khatanga Gulf
Khatanga Gulf is a large Arctic estuary in northern Siberia where the Khatanga River meets the Laptev Sea.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f2bd288190bb1556a88d9e90f3 |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7cc71e48190afdc3f1120ce5e02 |
completed | April 4, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69d0c9bc797c8190b0769154b6684d1b |
completed | April 4, 2026, 8:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0cc2f348c8190a962811d8ecdd1bf |
completed | April 4, 2026, 8:30 a.m. |
Created at: March 30, 2026, 7:38 p.m.