Triple
T10287798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pomor area |
E241276
|
entity |
| Predicate | relatedPortCity |
P2745
|
FINISHED |
| Object | Arkhangelsk |
E101428
|
NE FINISHED |
How this triple was built (3 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: Arkhangelsk | Statement: [Pomor area, relatedPortCity, Arkhangelsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arkhangelsk Context triple: [Pomor area, relatedPortCity, Arkhangelsk]
-
A.
Arkhangelsk
chosen
Arkhangelsk is a historic port city in northern Russia on the White Sea, long serving as a key maritime gateway and administrative center of the surrounding region.
-
B.
Archangelskoye
Archangelskoye is a historic estate and former aristocratic residence near Moscow, Russia, known for its neoclassical palace, landscaped park, and role as a cultural and political retreat.
-
C.
Murmansk
Murmansk is a major Arctic port city in northwestern Russia, known for its ice-free harbor and strategic military and shipping importance.
-
D.
Severodvinsk
Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
-
E.
Tomsk
Tomsk is a historic university and research city in southwestern Siberia, known as one of the region’s oldest and most important cultural and educational centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedPortCity Context triple: [Pomor area, relatedPortCity, Arkhangelsk]
-
A.
hasPortCity
chosen
Indicates that a place or region possesses or is associated with a city that functions as its port.
-
B.
isPortOf
Indicates that one location or facility serves as a port or harbor for another place, entity, or transportation route.
-
C.
linkedCity
Indicates that two entities are associated with each other through a specific city, such as being located in, connected via, or related by that city.
-
D.
majorPortCity
Indicates that a city functions as a primary maritime port, serving as a major hub for sea transport, trade, or shipping activities.
-
E.
isAmongLargestPortsIn
Indicates that a port ranks among the largest ports within a specified geographic or administrative area.
- F. None of above.
Provenance (4 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb440b9c81909db46299053e11da |
completed | April 9, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:40 a.m.