Triple
T1343544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lokomotiv Yaroslavl |
E28518
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Loko
Loko is the popular nickname of Lokomotiv Yaroslavl, a professional ice hockey team based in Yaroslavl, Russia.
|
E154081
|
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: Loko | Statement: [Lokomotiv Yaroslavl, nickname, Loko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loko Context triple: [Lokomotiv Yaroslavl, nickname, Loko]
-
A.
Lokoja
Lokoja is a city in central Nigeria located at the strategic confluence of the Niger and Benue rivers and serves as the capital of Kogi State.
-
B.
Lapa
Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
-
C.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
D.
Lozi
Lozi is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions of southern Africa.
-
E.
Pénjamo
Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
- 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: Loko Triple: [Lokomotiv Yaroslavl, nickname, Loko]
Generated description
Loko is the popular nickname of Lokomotiv Yaroslavl, a professional ice hockey team based in Yaroslavl, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loko Target entity description: Loko is the popular nickname of Lokomotiv Yaroslavl, a professional ice hockey team based in Yaroslavl, Russia.
-
A.
Lokoja
Lokoja is a city in central Nigeria located at the strategic confluence of the Niger and Benue rivers and serves as the capital of Kogi State.
-
B.
Lapa
Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
-
C.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
D.
Lozi
Lozi is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions of southern Africa.
-
E.
Pénjamo
Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23b8a9081908b78405d4ef806af |
completed | March 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc632cbc88190a64897f1b101c699 |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc6dbd80881908d640ee204ce9a12 |
completed | March 8, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc8199f508190a86c18ad9085d341 |
completed | March 8, 2026, 12:51 a.m. |
Created at: March 1, 2026, 7:56 p.m.