Triple
T9818991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gołdap |
E238478
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Gusev
Gusev is a town in Russia’s Kaliningrad Oblast, near the border with Poland, known for its historical ties to East Prussia and cross-border regional cooperation.
|
E823634
|
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: Gusev | Statement: [Gołdap, twinTown, Gusev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gusev Context triple: [Gołdap, twinTown, Gusev]
-
A.
Gusev crater
Gusev crater is a large impact crater on Mars that was explored by NASA’s Spirit rover in search of past water-related geological activity.
-
B.
Mirny
Mirny is a remote mining town in eastern Siberia best known for its massive open-pit diamond mine and role in Russia’s diamond industry.
-
C.
Mirny Station
Mirny Station is a Russian research base in Antarctica that serves as a key hub for scientific studies of the polar environment and climate.
-
D.
Kozhedub
Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
-
E.
Yelets
Yelets is a historic city in western Russia known for its medieval origins, traditional lace-making, and role as a regional cultural and economic center.
- 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: Gusev Triple: [Gołdap, twinTown, Gusev]
Generated description
Gusev is a town in Russia’s Kaliningrad Oblast, near the border with Poland, known for its historical ties to East Prussia and cross-border regional cooperation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gusev Target entity description: Gusev is a town in Russia’s Kaliningrad Oblast, near the border with Poland, known for its historical ties to East Prussia and cross-border regional cooperation.
-
A.
Gusev crater
Gusev crater is a large impact crater on Mars that was explored by NASA’s Spirit rover in search of past water-related geological activity.
-
B.
Mirny
Mirny is a remote mining town in eastern Siberia best known for its massive open-pit diamond mine and role in Russia’s diamond industry.
-
C.
Mirny Station
Mirny Station is a Russian research base in Antarctica that serves as a key hub for scientific studies of the polar environment and climate.
-
D.
Kozhedub
Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
-
E.
Yelets
Yelets is a historic city in western Russia known for its medieval origins, traditional lace-making, and role as a regional cultural and economic center.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f74e348190be8e4394ae6fe3fe |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc74de14819083299a549f04b2b1 |
completed | April 5, 2026, 2:44 a.m. |
| NEDg | Description generation | batch_69d1ccf59c68819082b4aa37e06d2aaf |
completed | April 5, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d0d945d48190b56b7fd2ce568a13 |
completed | April 5, 2026, 3:02 a.m. |
Created at: March 30, 2026, 8:31 p.m.