Triple
T18465010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Shakhtar Donetsk |
E451136
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Stakhanovets
Stakhanovets was the original name of the Ukrainian football club now known as FC Shakhtar Donetsk, historically associated with the Donbas mining community.
|
E1326183
|
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: Stakhanovets | Statement: [FC Shakhtar Donetsk, originalName, Stakhanovets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stakhanovets Context triple: [FC Shakhtar Donetsk, originalName, Stakhanovets]
-
A.
Stalinets
Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
-
B.
Khokhlov
Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
-
C.
Stepanavan
Stepanavan is a town in northern Armenia known for its cool climate, surrounding forests, and proximity to the Stepanavan Dendropark botanical garden.
-
D.
Stolbtsy
Stolbtsy is a town in central Belarus known for its location on the Neman River and its historical role as a regional trading and cultural center.
-
E.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
- 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: Stakhanovets Triple: [FC Shakhtar Donetsk, originalName, Stakhanovets]
Generated description
Stakhanovets was the original name of the Ukrainian football club now known as FC Shakhtar Donetsk, historically associated with the Donbas mining community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stakhanovets Target entity description: Stakhanovets was the original name of the Ukrainian football club now known as FC Shakhtar Donetsk, historically associated with the Donbas mining community.
-
A.
Stalinets
Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
-
B.
Khokhlov
Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
-
C.
Stepanavan
Stepanavan is a town in northern Armenia known for its cool climate, surrounding forests, and proximity to the Stepanavan Dendropark botanical garden.
-
D.
Stolbtsy
Stolbtsy is a town in central Belarus known for its location on the Neman River and its historical role as a regional trading and cultural center.
-
E.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a82920081909b2b89125db5982a |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f22b680819087c837c9ca87ce4b |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a043fc897408190ac2f6625ce23c93d |
completed | May 13, 2026, 9:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a044095d4b48190aeb30ecb37609da3 |
completed | May 13, 2026, 9:12 a.m. |
Created at: April 10, 2026, 11:34 a.m.